{"meta":{"query_hash":"7885d7b078bc","filters":{"venue":"AIMS Biophysics"},"cohort_total":12,"direct_labels_cover":0,"predictions_cover":12,"exported":12,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/7885d7b078bc","api":"https://metacan.xera.ac/api/v1/cohort?venue=AIMS+Biophysics"},"results":[{"id":"W1953121839","doi":"10.3934/biophy.2015.4.517","title":"Chromatin epigenomic domain folding: size matters","year":2015,"lang":"en","type":"article","venue":"AIMS Biophysics","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Nautical Research Society","funders":"Engineering and Physical Sciences Research Council","keywords":"Epigenomics; Chromatin; Folding (DSP implementation); Epigenetics; Computational biology; Biology; Epigenesis; Gene; Genetics; Gene expression; DNA methylation; Engineering","score_opus":0.008694505631317066,"score_gpt":0.21906964323660008,"score_spread":0.210375137605283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1953121839","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99553084,0.00015498747,0.0016492573,0.0005434623,0.00030598714,0.00015502448,0.00003362105,0.00002638377,0.0016004415],"genre_scores_gemma":[0.99047893,0.00003609117,0.0071575306,0.0012165239,0.0003884144,0.000015867183,0.00012288916,0.000051507508,0.000532227],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998948,0.000034536024,0.0002225467,0.00034104372,0.00013607414,0.00031782064],"domain_scores_gemma":[0.9991582,0.00001184107,0.00011414815,0.0004879931,0.00006249441,0.00016532863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014726969,0.00021123975,0.00017576046,0.00001906174,0.00007061451,0.000047501417,0.0002997807,0.00012733332,0.000010933406],"category_scores_gemma":[0.000023565237,0.0002152882,0.00011277848,0.00008958062,0.000081050035,0.0000044819935,0.00017627675,0.000075800766,0.00013777566],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025699208,0.00006481329,0.0003867638,0.000014993626,0.000056444,0.000004760086,0.00017728214,0.00020833068,0.9897973,0.0007578199,0.007714492,0.0007913351],"study_design_scores_gemma":[0.0053973207,0.0016424826,0.0048887143,0.00006375199,0.0001283019,0.00010847837,0.002062185,0.0021855258,0.7406477,0.036598526,0.20361911,0.0026579092],"about_ca_topic_score_codex":0.000027700815,"about_ca_topic_score_gemma":0.000010237786,"teacher_disagreement_score":0.24914958,"about_ca_system_score_codex":0.000048367805,"about_ca_system_score_gemma":0.00010659624,"threshold_uncertainty_score":0.87791973},"labels":[],"label_agreement":null},{"id":"W2615482484","doi":"10.3934/biophy.2017.3.337","title":"Mechanisms and applications of the anti-inflammatory effects of photobiomodulation","year":2017,"lang":"en","type":"article","venue":"AIMS Biophysics","topic":"Laser Applications in Dentistry and Medicine","field":"Medicine","cited_by":1179,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institutes of Health; National Institute of Allergy and Infectious Diseases; World Anti-Doping Agency","keywords":"Inflammation; Reactive oxygen species; Oxidative stress; Nitric oxide; Chemistry; Reactive nitrogen species; Calcium; Cell biology; Pharmacology; Biochemistry; Medicine; Internal medicine; Biology","score_opus":0.005201571823074453,"score_gpt":0.2546206665357996,"score_spread":0.24941909471272516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2615482484","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98769915,0.000052863892,0.01057822,0.00020758761,0.00010648368,0.0007161372,0.0000080817235,0.0000115740395,0.00061992614],"genre_scores_gemma":[0.9991006,0.000038697348,0.00049894187,0.00004079779,0.00006413259,0.000050981464,0.000006545839,0.0000067278334,0.00019255195],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99956006,0.000007712802,0.00013786672,0.00010793461,0.00012733473,0.0000590958],"domain_scores_gemma":[0.99890596,0.000030447882,0.0002198611,0.0007334893,0.000078159916,0.000032067026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000060189705,0.000060635073,0.00014511702,0.000017328723,0.00013012766,0.000004660096,0.00013139067,0.00004492678,0.0000026501643],"category_scores_gemma":[0.000033107444,0.00004196745,0.000043444616,0.000064360174,0.0002508051,0.000043385156,0.000066994435,0.000056007797,0.000002404053],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007726652,0.00009360715,0.00440559,0.00044070705,0.000033338732,7.394205e-7,0.00006455092,7.8448306e-7,0.9652876,0.01960244,0.00003720705,0.010025704],"study_design_scores_gemma":[0.0005203756,0.00003638749,0.23759343,0.000111016605,0.00011913842,0.000005788907,0.000016102267,0.00008889188,0.7560372,0.0050927238,0.0003439441,0.00003505565],"about_ca_topic_score_codex":0.00001604587,"about_ca_topic_score_gemma":7.0748786e-7,"teacher_disagreement_score":0.23318782,"about_ca_system_score_codex":0.000007300794,"about_ca_system_score_gemma":0.00002738387,"threshold_uncertainty_score":0.1711383},"labels":[],"label_agreement":null},{"id":"W2644262282","doi":"10.3934/biophy.2017.3.400","title":"Cellular deformation characterization of human breast cancer cells under hydrodynamic forces","year":2017,"lang":"en","type":"article","venue":"AIMS Biophysics","topic":"Cellular Mechanics and Interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Mechanotransduction; Deformation (meteorology); Shear stress; Mechanics; Materials science; Cancer cell; Stress (linguistics); Human breast; Mechanobiology; Biophysics; Nanotechnology; Chemistry; Cancer; Cell biology; Physics; Composite material; Biology","score_opus":0.007594160023557062,"score_gpt":0.24601574779957142,"score_spread":0.23842158777601435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2644262282","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99364084,0.000014258976,0.0054118065,0.00007397458,0.00031708708,0.0001009285,0.00013177657,0.000006222642,0.00030312213],"genre_scores_gemma":[0.9985729,0.000112354974,0.000021106618,0.000051327555,0.00022037019,0.000010654141,0.0005350875,0.000017784227,0.00045845247],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99945545,0.000011818068,0.0001617695,0.00016436276,0.0000857816,0.000120833996],"domain_scores_gemma":[0.99915904,0.0000011995263,0.00028156204,0.00042966384,0.00009615994,0.000032381882],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000041871826,0.00010626625,0.00010195297,0.000022809993,0.00024375884,0.00004657667,0.0001918135,0.00008374463,0.000029452249],"category_scores_gemma":[0.0000017213455,0.000103764585,0.00008673582,0.000025555866,0.000045928195,0.000024555788,0.00008258327,0.00005125,0.000009426513],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000091498805,0.00004642217,0.0000931699,0.000017051852,0.000031218766,1.7363544e-7,0.000021991924,0.000028356195,0.99804467,0.00075940095,0.000017588576,0.0009307985],"study_design_scores_gemma":[0.00016809984,0.00006169226,0.003420048,0.000018990751,0.00002391262,0.0000013162049,0.000019803241,0.0027751825,0.9927644,0.00025174743,0.00037017174,0.0001246358],"about_ca_topic_score_codex":0.00014324675,"about_ca_topic_score_gemma":0.000031788004,"teacher_disagreement_score":0.0053907,"about_ca_system_score_codex":0.000014698386,"about_ca_system_score_gemma":0.000023309545,"threshold_uncertainty_score":0.4231397},"labels":[],"label_agreement":null},{"id":"W2788102064","doi":"10.3934/biophy.2018.1.36","title":"A machine learning algorithm for identifying and tracking bacteria in three dimensions using Digital Holographic Microscopy","year":2018,"lang":"en","type":"article","venue":"AIMS Biophysics","topic":"Digital Holography and Microscopy","field":"Physics and Astronomy","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"California Institute of Technology; Gordon and Betty Moore Foundation","keywords":"Holography; Microscopy; Computer science; Digital holographic microscopy; Speckle noise; Digital holography; Computer vision; Software; Artificial intelligence; Noise (video); Tracking (education); Speckle pattern; Optical microscope; Algorithm; Optics; Physics; Image (mathematics)","score_opus":0.02408313643914262,"score_gpt":0.2902535145016127,"score_spread":0.26617037806247007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2788102064","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9337647,0.00010172292,0.06517546,0.0000070355327,0.00021087333,0.00024029549,0.0002382365,0.00003890313,0.00022280384],"genre_scores_gemma":[0.98851436,0.0000048484017,0.011044147,0.000024044064,0.00021825907,0.000014498286,0.00012343438,0.00003601671,0.000020358835],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99891305,0.000013723624,0.00023126206,0.00037804528,0.000065809865,0.0003981215],"domain_scores_gemma":[0.9995455,0.000053101252,0.00011468355,0.0001541963,0.00006425584,0.00006826417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000080872116,0.00022327714,0.0002464869,0.00013907539,0.00027734318,0.00031546006,0.00011568416,0.00005664101,0.000006969365],"category_scores_gemma":[0.0000034762631,0.00022361185,0.00013463692,0.00038379707,0.00027360203,0.0006085107,0.00010439289,0.00017397538,0.0000058639775],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050978684,0.00036913215,0.14961734,0.000031654992,0.00013798397,0.000005074863,0.00059687515,0.000003870074,0.64020777,0.0029405656,0.00000952489,0.2060292],"study_design_scores_gemma":[0.011907244,0.0027149725,0.1004074,0.001431893,0.0005106919,0.000047884838,0.0028479174,0.052311093,0.48643035,0.3314078,0.0052402173,0.0047425637],"about_ca_topic_score_codex":0.000114024275,"about_ca_topic_score_gemma":0.000008645601,"teacher_disagreement_score":0.32846722,"about_ca_system_score_codex":0.000009343293,"about_ca_system_score_gemma":0.000019326137,"threshold_uncertainty_score":0.9118626},"labels":[],"label_agreement":null},{"id":"W2800554653","doi":"10.3934/biophy.2018.2.125","title":"The effect of different divalent cations on the kinetics and fidelity of &lt;em&gt;Bacillus stearothermophilus&lt;/em&gt; DNA polymerase","year":2018,"lang":"en","type":"article","venue":"AIMS Biophysics","topic":"DNA and Nucleic Acid Chemistry","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"National Institute of General Medical Sciences","keywords":"Divalent; DNA; Chemistry; DNA polymerase; Crystallography; Stereochemistry; Biochemistry","score_opus":0.006045352375010689,"score_gpt":0.22085208587871114,"score_spread":0.21480673350370044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2800554653","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981767,0.00039215587,0.000055607845,0.000264574,0.000120318975,0.00023024337,0.00010967027,0.000007677945,0.0006430703],"genre_scores_gemma":[0.99904734,0.0002091436,0.000012941785,0.00009479287,0.00027204552,0.000019001809,0.000033098197,0.000023099858,0.00028854312],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99895424,0.00007624062,0.00026163794,0.00026855135,0.00022516263,0.00021417256],"domain_scores_gemma":[0.9987803,0.00010486523,0.00018013494,0.0007659442,0.00010221778,0.00006652933],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013966623,0.00021879842,0.00020573473,0.000011413783,0.00015968842,0.00002052435,0.0003131737,0.000118882024,0.000012323717],"category_scores_gemma":[0.00007486359,0.00012515856,0.00012923215,0.00008423261,0.000518083,0.0000026741131,0.0001794055,0.00009104349,0.000004596527],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012630866,0.00009132752,0.00024367464,0.000038701015,0.00009086041,3.0106762e-7,0.000108419066,0.0000012155724,0.9910443,0.00026385844,0.0004436523,0.007547382],"study_design_scores_gemma":[0.00039588715,0.0010457948,0.0040540984,0.000028231681,0.00006083793,0.0000017592027,0.00004739117,0.00005080344,0.9925669,0.00018045909,0.001428738,0.00013909668],"about_ca_topic_score_codex":0.0000068906725,"about_ca_topic_score_gemma":0.000013330189,"teacher_disagreement_score":0.007408285,"about_ca_system_score_codex":0.000011878838,"about_ca_system_score_gemma":0.000019806052,"threshold_uncertainty_score":0.5103818},"labels":[],"label_agreement":null},{"id":"W2896314475","doi":"10.3934/biophy.2018.4.231","title":"Recent progress in Monte Carlo simulation on gold nanoparticle radiosensitization","year":2018,"lang":"en","type":"article","venue":"AIMS Biophysics","topic":"Radiation Therapy and Dosimetry","field":"Medicine","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; University of Toronto; Princess Margaret Cancer Centre","funders":"","keywords":"Monte Carlo method; Brachytherapy; Photon; Tracking (education); Colloidal gold; Dosimetry; Secondary electrons; Photoelectric effect; Nanoparticle; Materials science; Medical physics; Physics; Computational physics; Electron; Radiation therapy; Nanotechnology; Optics; Nuclear medicine; Medicine; Nuclear physics; Radiology","score_opus":0.018074161359533162,"score_gpt":0.2983468621200652,"score_spread":0.28027270076053207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2896314475","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979847,0.00015852517,0.000051686206,0.00083852006,0.00019025654,0.0002754537,0.0000023825492,0.000059325757,0.00043911822],"genre_scores_gemma":[0.99819833,0.00004078303,0.000111656394,0.0010494575,0.0003773524,0.000006990998,0.0000098132705,0.000016336126,0.00018930454],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993055,0.000034823646,0.00016467283,0.00017190704,0.00017439928,0.00014871759],"domain_scores_gemma":[0.9995402,0.00003402831,0.000058293557,0.00019867382,0.00011081395,0.000058007925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000848273,0.00008926241,0.0001264874,0.000070772345,0.000036671307,0.0000146779075,0.000029280774,0.000059521735,0.000017975273],"category_scores_gemma":[0.000025699672,0.00008125544,0.000029574529,0.0004617355,0.00006139465,0.00009504049,0.0000063458747,0.00007218506,0.00012177666],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002137344,0.001494696,0.10204752,0.000054410517,0.00009680201,0.000043125285,0.003247007,0.015299224,0.05636778,0.0015667847,0.0016586183,0.8159867],"study_design_scores_gemma":[0.004304169,0.0019249113,0.22853892,0.00015547192,0.00005311303,0.0000046764144,0.000092851515,0.44641688,0.3063124,0.0003752119,0.011475269,0.00034610182],"about_ca_topic_score_codex":0.0000056365798,"about_ca_topic_score_gemma":0.0000029380376,"teacher_disagreement_score":0.81564057,"about_ca_system_score_codex":0.000080844526,"about_ca_system_score_gemma":0.000027236598,"threshold_uncertainty_score":0.3313501},"labels":[],"label_agreement":null},{"id":"W3133697945","doi":"10.3934/biophy.2021009","title":"Applications of artificial intelligence, mathematical modeling and simulation in medical biophysics","year":2021,"lang":"en","type":"article","venue":"AIMS Biophysics","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network; Princess Margaret Cancer Centre","funders":"","keywords":"Computer science; Engineering","score_opus":0.12086029930005479,"score_gpt":0.4267362348792662,"score_spread":0.30587593557921144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3133697945","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.64465874,0.00012789216,0.35336527,0.0010587497,0.000057176716,0.00027279046,0.0000036201966,0.00002143532,0.0004343236],"genre_scores_gemma":[0.99684453,0.00010066935,0.002528404,0.00015521505,0.0002611461,0.000030495994,0.000035768437,0.000012609091,0.00003114785],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99872977,0.000028572742,0.00055370503,0.00022591026,0.00030186208,0.00016018935],"domain_scores_gemma":[0.99909514,0.00021435585,0.00006734696,0.00023050874,0.000273161,0.00011950589],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018639863,0.00009549619,0.00024142473,0.00007839218,0.000047365305,0.00001177315,0.000051262457,0.00013636558,0.00012334948],"category_scores_gemma":[0.00020065892,0.00009411846,0.000050962997,0.0005949467,0.000105019375,0.000073603005,0.000035660563,0.00019458855,0.000064213076],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060734284,0.00090452126,0.00059040467,0.00039257362,0.000020405747,0.000011766158,0.0014396228,0.0077819866,0.00306255,0.059216756,0.0000031454422,0.9265155],"study_design_scores_gemma":[0.000018505943,0.00006101915,0.0000436988,0.00014702918,0.000026186004,0.000007992073,0.0012752737,0.8086766,0.023632651,0.16597867,0.000045526023,0.00008687439],"about_ca_topic_score_codex":0.00006706386,"about_ca_topic_score_gemma":0.0000163093,"teacher_disagreement_score":0.9264287,"about_ca_system_score_codex":0.000035149373,"about_ca_system_score_gemma":0.00028983623,"threshold_uncertainty_score":0.38380393},"labels":[],"label_agreement":null},{"id":"W3170467102","doi":"10.3934/biophy.2021017","title":"Computer method and modeling: Medical biophysics applications in cancer therapy, medical imaging and drug delivery","year":2021,"lang":"en","type":"article","venue":"AIMS Biophysics","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; Princess Margaret Cancer Centre; University of Toronto","funders":"","keywords":"Cancer therapy; Medical imaging; Drug delivery; Medicine; Medical physics; Cancer; Nanotechnology; Internal medicine; Radiology; Materials science","score_opus":0.01375866487836809,"score_gpt":0.35388741607118324,"score_spread":0.34012875119281516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3170467102","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79640824,0.0065267533,0.19288741,0.0036438874,0.000064365515,0.00018113933,0.000020655612,0.00003312414,0.00023444186],"genre_scores_gemma":[0.95940936,0.027225815,0.009560992,0.0026224563,0.000775644,0.00013301411,0.00015812121,0.000035184134,0.000079398895],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998484,0.00006598348,0.00020304431,0.0004942193,0.00044886157,0.00030386567],"domain_scores_gemma":[0.99928445,0.000062203515,0.000027874268,0.00024037482,0.00009631432,0.00028876253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024432226,0.00015939446,0.00019115536,0.000028816574,0.00006521043,0.000029630477,0.00021962308,0.00018359204,0.00003730619],"category_scores_gemma":[0.00003827802,0.0001361491,0.000051421404,0.00021448865,0.00028133762,0.0000064465426,0.00045780258,0.0003067798,9.84297e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045370845,0.00042049933,0.0032870972,0.000070085145,0.00006872914,0.000041208215,0.00008188982,0.0000063613343,0.633697,0.0013713501,0.001598584,0.35931188],"study_design_scores_gemma":[0.0013153516,0.00008481277,0.00032295758,0.00014291563,0.000019615607,0.000044285192,0.00009922215,0.11916449,0.84206975,0.013622716,0.02254402,0.0005698613],"about_ca_topic_score_codex":0.00016981666,"about_ca_topic_score_gemma":0.000026106853,"teacher_disagreement_score":0.358742,"about_ca_system_score_codex":0.000018997325,"about_ca_system_score_gemma":0.00025295498,"threshold_uncertainty_score":0.5551999},"labels":[],"label_agreement":null},{"id":"W3206611948","doi":"10.3934/biophy.2021027","title":"Evaluation of dose enhancement with gold nanoparticles in kilovoltage radiotherapy using the new EGS geometry library in Monte Carlo simulation","year":2021,"lang":"en","type":"article","venue":"AIMS Biophysics","topic":"Radiation Therapy and Dosimetry","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; Toronto Metropolitan University; University Health Network","funders":"","keywords":"Colloidal gold; Imaging phantom; Monte Carlo method; Nanoparticle; Materials science; Chemistry; Nuclear medicine; Radiochemistry; Analytical Chemistry (journal); Nuclear chemistry; Nanotechnology; Chromatography; Mathematics; Medicine","score_opus":0.03402652191993098,"score_gpt":0.3139589305472829,"score_spread":0.2799324086273519,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3206611948","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99566674,0.002755591,0.0006822643,0.00038708598,0.000058738162,0.0003833472,0.000002451703,0.000011628144,0.00005212288],"genre_scores_gemma":[0.9976708,0.00016765759,0.0014558431,0.00043708226,0.00011180159,0.0000073145957,0.000008530762,0.000018700972,0.00012225134],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998814,0.00013557833,0.00026802204,0.00017712793,0.00046976338,0.00013549635],"domain_scores_gemma":[0.99940145,0.0000925476,0.0001155891,0.00026320925,0.000086625834,0.000040590425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032236485,0.00010499383,0.00019954426,0.00010646888,0.000020427025,0.000018386214,0.000050313778,0.00005141389,0.00007125173],"category_scores_gemma":[0.000029036011,0.000077534234,0.000041990792,0.0010568348,0.000035579764,0.00026277144,0.00001179421,0.000103555845,0.0000013641247],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036648673,0.00039050262,0.028924515,0.00003391641,0.00008842005,0.000009299263,0.0018481734,0.2349063,0.6866286,0.00008487972,0.000038917795,0.046680037],"study_design_scores_gemma":[0.005058828,0.00025871446,0.056234907,0.00020435292,0.00012262704,0.000002467382,0.0004102648,0.45401925,0.48286194,0.0004066837,0.00027107447,0.00014888823],"about_ca_topic_score_codex":0.00012651783,"about_ca_topic_score_gemma":0.000015165467,"teacher_disagreement_score":0.21911295,"about_ca_system_score_codex":0.00011280535,"about_ca_system_score_gemma":0.00037349464,"threshold_uncertainty_score":0.3161754},"labels":[],"label_agreement":null},{"id":"W4313186578","doi":"10.3934/biophy.2022023","title":"A Wiener process with jumps to model the logarithm of new epidemic cases","year":2022,"lang":"en","type":"article","venue":"AIMS Biophysics","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Logarithm; Exponential function; Mathematics; Exponential growth; Pandemic; Jump; Coronavirus disease 2019 (COVID-19); Wiener process; Process (computing); Applied mathematics; Statistics; Statistical physics; Mathematical analysis; Computer science; Physics; Medicine; Quantum mechanics","score_opus":0.2810880535328757,"score_gpt":0.42435096132655004,"score_spread":0.14326290779367434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313186578","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9485702,0.00015395717,0.040721007,0.009033383,0.00006319884,0.00076181174,0.00008098983,0.00012345966,0.0004920068],"genre_scores_gemma":[0.98860794,0.000010510019,0.006722512,0.0037114962,0.00008447824,0.0001654951,0.0000028751228,0.000026105015,0.0006685975],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986232,0.00009803583,0.00032176403,0.00031814008,0.00034300482,0.00029584952],"domain_scores_gemma":[0.9974606,0.0017089128,0.00020942625,0.00045337557,0.00008922073,0.0000784848],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042677042,0.00019220448,0.00043595224,0.00003040509,0.00026763568,0.0000070803057,0.00042470274,0.000031499618,0.000026120168],"category_scores_gemma":[0.001079976,0.00010913295,0.000097881006,0.0005297331,0.00012204356,0.00005057647,0.00042894576,0.00023417335,0.00000763067],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010153302,0.0018060928,0.011559839,0.00081772084,0.0008441933,0.00010407925,0.020571513,0.46003735,0.0037246665,0.32646313,0.15410826,0.018947829],"study_design_scores_gemma":[0.000656056,0.001029568,0.0007419909,0.00006461545,0.00023106732,0.000025269384,0.001720896,0.035257038,0.0018348454,0.95374477,0.0041222004,0.00057169696],"about_ca_topic_score_codex":0.000468197,"about_ca_topic_score_gemma":0.000067426554,"teacher_disagreement_score":0.6272816,"about_ca_system_score_codex":0.00008029485,"about_ca_system_score_gemma":0.00013288869,"threshold_uncertainty_score":0.44503126},"labels":[],"label_agreement":null},{"id":"W4400216566","doi":"10.3934/biophy.2024014","title":"COVID19 vaccines as boosters or first doses: simulating scenarios to minimize infections and deaths","year":2024,"lang":"en","type":"article","venue":"AIMS Biophysics","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Booster (rocketry); Pandemic; Booster dose; Population; Quarter (Canadian coin); Coronavirus disease 2019 (COVID-19); Public health; Medicine; Environmental health; Computer science; Virology; Immunology; Disease; Infectious disease (medical specialty); Immunization; Geography; Engineering; Antigen","score_opus":0.14821028845089326,"score_gpt":0.41898257151809304,"score_spread":0.2707722830671998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400216566","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9739202,0.0004148074,0.013161051,0.009277536,0.0005564283,0.0009214785,0.00004487912,0.00070989697,0.000993719],"genre_scores_gemma":[0.99054945,0.00014559622,0.0056716013,0.0024091995,0.0003244962,0.000086187516,0.0000034399304,0.0000419784,0.0007680354],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986107,0.000055989974,0.0003726912,0.00047237927,0.00015122788,0.00033706008],"domain_scores_gemma":[0.9916117,0.007843736,0.000066398345,0.000281398,0.000061380175,0.00013538267],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023377071,0.00027480433,0.0004326092,0.000073932715,0.00033979616,0.00011992703,0.00012918179,0.00009938607,0.00006353681],"category_scores_gemma":[0.0043775183,0.0001899336,0.00012050023,0.00049539114,0.000060061237,0.00013261552,0.00034136142,0.0001829877,0.00017953524],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001566723,0.0035639415,0.20518139,0.017796839,0.0052802186,0.0012045081,0.061204027,0.020389717,0.013047701,0.28072843,0.22236288,0.16767365],"study_design_scores_gemma":[0.0038653729,0.0037778127,0.025793137,0.0041595567,0.0016936822,0.000111776826,0.0045016,0.07059764,0.0021621725,0.61339474,0.26557112,0.00437139],"about_ca_topic_score_codex":0.00031344435,"about_ca_topic_score_gemma":0.00016299587,"teacher_disagreement_score":0.3326663,"about_ca_system_score_codex":0.00010326117,"about_ca_system_score_gemma":0.000049578615,"threshold_uncertainty_score":0.7745268},"labels":[],"label_agreement":null},{"id":"W4402531749","doi":"10.3934/biophy.2024019","title":"Biophysical insights into nanomaterial-induced DNA damage: mechanisms, challenges, and future directions","year":2024,"lang":"en","type":"article","venue":"AIMS Biophysics","topic":"Nanoparticles: synthesis and applications","field":"Materials Science","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"","keywords":"DNA damage; Genotoxicity; Nanotechnology; Nanomaterials; DNA; Computational biology; Chemistry; Biology; Materials science; Genetics; Toxicity","score_opus":0.015473457106759654,"score_gpt":0.24037945712934086,"score_spread":0.2249060000225812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402531749","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9931342,0.0022320282,0.00011888713,0.0024455702,0.001075495,0.00021045517,0.000020529558,0.0003893891,0.00037346446],"genre_scores_gemma":[0.995825,0.0017306068,0.0010391868,0.00006651062,0.0011189956,0.000117170166,0.000010219119,0.000038894395,0.000053443793],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998717,0.0000617101,0.00022038317,0.0005491526,0.000193126,0.00025860884],"domain_scores_gemma":[0.9993116,0.00006391719,0.000046817684,0.0004048662,0.00004432155,0.00012844965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010119039,0.00022189981,0.00022889442,0.000063936146,0.0002854168,0.0002462619,0.0001916179,0.00010797566,0.000060723825],"category_scores_gemma":[0.000005667095,0.0001817189,0.0000680499,0.0002806317,0.00009602968,0.00033293793,0.000119268174,0.00009248653,0.00054655515],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000036672136,0.000075694734,7.8620864e-8,0.00004313002,0.000009769391,0.0000045468896,0.0008165663,1.0125916e-7,0.7716558,0.19808514,0.00004625606,0.02925926],"study_design_scores_gemma":[0.000080444945,0.00006549246,0.00021358459,0.000041823074,0.00004103877,0.0000036805586,0.00023921028,0.00022461127,0.9182276,0.040804178,0.039820872,0.00023744167],"about_ca_topic_score_codex":0.000045687397,"about_ca_topic_score_gemma":0.00001459068,"teacher_disagreement_score":0.15728097,"about_ca_system_score_codex":0.000037212234,"about_ca_system_score_gemma":0.00004567061,"threshold_uncertainty_score":0.7410282},"labels":[],"label_agreement":null}]}