{"meta":{"query_hash":"57443a78218f","filters":{"venue":"Springer series in computational neuroscience"},"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/57443a78218f","api":"https://metacan.xera.ac/api/v1/cohort?venue=Springer+series+in+computational+neuroscience"},"results":[{"id":"W183715815","doi":"10.1007/978-1-4939-1969-7_2","title":"Silicon Probe Techniques for Large-Scale Multiunit Recording","year":2014,"lang":"en","type":"book-chapter","venue":"Springer series in computational neuroscience","topic":"Neuroscience and Neural Engineering","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Microelectrode; Nanotechnology; Microprobe; Optogenetics; Fabrication; Silicon; Materials science; Computer science; Biomedical engineering; Electrode; Neuroscience; Engineering; Chemistry; Optoelectronics; Medicine; Biology; Mineralogy","score_opus":0.035726413823820344,"score_gpt":0.27574546583390935,"score_spread":0.240019052010089,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W183715815","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.054814678,0.00023730667,0.681779,0.009359486,0.031276803,0.02029094,0.0016067722,0.007512497,0.1931225],"genre_scores_gemma":[0.72282356,0.00043543175,0.033708632,0.011149663,0.0012139751,0.00075169315,0.000037110025,0.00063507166,0.22924489],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99623,0.00004365167,0.00065760117,0.0015968685,0.0007253266,0.0007465466],"domain_scores_gemma":[0.9983831,0.00059939397,0.00032123676,0.00044115545,0.00009342323,0.0001616697],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004224118,0.0005473455,0.0004981485,0.0005670237,0.00044065877,0.00022574184,0.0010248428,0.00019596035,0.000029110617],"category_scores_gemma":[0.00077854586,0.00058222417,0.00018342899,0.0003076644,0.00041100048,0.0006209104,0.000420197,0.00061465404,0.000029354474],"study_design_candidate":"bench_or_experimental","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":[0.00011094864,0.00009192637,0.00008675073,0.00032029755,0.000001514942,0.000099868346,0.00020170542,0.008585956,0.47708288,0.50568193,0.00025826725,0.007477962],"study_design_scores_gemma":[0.00082224084,0.0009891143,0.00031335777,0.000716858,0.000020937441,0.0002978852,0.000015236489,0.115019634,0.2906555,0.061370414,0.5275805,0.0021983257],"about_ca_topic_score_codex":0.0000018295768,"about_ca_topic_score_gemma":0.000007885568,"teacher_disagreement_score":0.66800886,"about_ca_system_score_codex":0.00010094313,"about_ca_system_score_gemma":0.00012055078,"threshold_uncertainty_score":0.99966294},"labels":[],"label_agreement":null},{"id":"W2210358626","doi":"10.1007/978-1-4939-1969-7_1","title":"Techniques for Large-Scale Multiunit Recording","year":2014,"lang":"en","type":"book-chapter","venue":"Springer series in computational neuroscience","topic":"Photoreceptor and optogenetics research","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Optogenetics; Microelectrode; Electrophysiology; Neuroscience; Multielectrode array; Neuroprosthetics; Computer science; Nanotechnology; Electrode; Materials science; Biology; Chemistry","score_opus":0.055313105145221336,"score_gpt":0.32416060428027266,"score_spread":0.26884749913505135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2210358626","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019902896,0.0002111923,0.43525815,0.0032698738,0.012920195,0.010738084,0.0023228214,0.0019002534,0.51347655],"genre_scores_gemma":[0.57306755,0.00076048373,0.07526625,0.00510835,0.0012043283,0.0006526433,0.000078614794,0.0004936532,0.3433681],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9969836,0.000055946177,0.00046335094,0.0011171828,0.0007959646,0.00058398425],"domain_scores_gemma":[0.9984939,0.0006525043,0.00019776443,0.0003584639,0.00015248607,0.00014487743],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00049403496,0.00035120355,0.0003517012,0.00047131177,0.00036886247,0.0001861346,0.0009450097,0.0001846647,0.00010350738],"category_scores_gemma":[0.0006838295,0.00038028896,0.0001401072,0.00018386371,0.0004362592,0.00020979607,0.00046793892,0.0004892728,0.000042495376],"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":[0.00037367194,0.00018964072,0.00050412194,0.00043409917,0.0000050178974,0.00007689864,0.00054602884,0.0064968755,0.2545281,0.71332836,0.0017145775,0.021802617],"study_design_scores_gemma":[0.00046003092,0.00046692943,0.00022406499,0.00023265013,0.0000071761096,0.000048465645,0.000010240251,0.03630216,0.1277336,0.07090602,0.762688,0.00092069467],"about_ca_topic_score_codex":0.000002779889,"about_ca_topic_score_gemma":0.000016256188,"teacher_disagreement_score":0.7609734,"about_ca_system_score_codex":0.000109485845,"about_ca_system_score_gemma":0.00016813184,"threshold_uncertainty_score":0.9998649},"labels":[],"label_agreement":null},{"id":"W2480935188","doi":"10.1007/978-1-4939-3995-4_31","title":"Computational Fractal-Based Neurosciences: An Overview","year":2016,"lang":"en","type":"book-chapter","venue":"Springer series in computational neuroscience","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"","keywords":"Fractal; Computer science; Software; Section (typography); MATLAB; Fractal analysis; Artificial intelligence; Fractal dimension; Mathematics; Programming language","score_opus":0.028778870456038545,"score_gpt":0.3001452256099305,"score_spread":0.27136635515389196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2480935188","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.043897416,0.0049947975,0.60375905,0.0055337143,0.005025933,0.0045960457,0.0008144979,0.0011936036,0.33018494],"genre_scores_gemma":[0.76979697,0.001522114,0.058256134,0.015558034,0.000999938,0.0001327914,0.0008635034,0.00039681327,0.15247372],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972148,0.00005855776,0.00048361646,0.0012119615,0.0007110675,0.00032001408],"domain_scores_gemma":[0.99877554,0.000060537193,0.00029496115,0.0005252849,0.00021036647,0.00013329575],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002560898,0.0003877614,0.00030163105,0.00029321117,0.00016758317,0.00013889426,0.00080867624,0.00018793406,0.00006743187],"category_scores_gemma":[0.00012371568,0.00037478306,0.00016040927,0.00014407368,0.0008102149,0.000059486236,0.0003124232,0.00022331296,0.000017134565],"study_design_candidate":"not_applicable","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":[0.00040541025,0.00081092905,0.004100873,0.00033221714,0.00004924273,0.00052854733,0.000084727675,0.5076971,0.14919722,0.313113,0.0031205642,0.020560157],"study_design_scores_gemma":[0.0017592321,0.0032092077,0.016626563,0.0008159777,0.00009489046,0.00028556157,0.000013661197,0.08163333,0.017323384,0.23401238,0.6396877,0.0045381095],"about_ca_topic_score_codex":0.0000031411255,"about_ca_topic_score_gemma":0.00001900913,"teacher_disagreement_score":0.7258995,"about_ca_system_score_codex":0.000046265166,"about_ca_system_score_gemma":0.0004154471,"threshold_uncertainty_score":0.9998704},"labels":[],"label_agreement":null},{"id":"W2483066674","doi":"10.1007/978-1-4939-3995-4_26","title":"On Multiscaling of Parkinsonian Rest Tremor Signals and Their Classification","year":2016,"lang":"en","type":"book-chapter","venue":"Springer series in computational neuroscience","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Detrended fluctuation analysis; Multifractal system; Scaling; Statistical physics; Rest (music); Complex system; Computer science; Criticality; Artificial intelligence; Mathematics; Fractal; Physics","score_opus":0.05449345301898333,"score_gpt":0.23078604910119627,"score_spread":0.17629259608221293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2483066674","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1350343,0.006656241,0.058725923,0.0075147357,0.004110101,0.002299951,0.003418328,0.00023375175,0.7820067],"genre_scores_gemma":[0.97966564,0.00020845517,0.00039551483,0.00010156145,0.000061468854,0.000007920523,0.000006397628,0.000030016536,0.019523052],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99829,0.000012451423,0.0007701392,0.0006604359,0.00009169417,0.00017527021],"domain_scores_gemma":[0.9987397,0.0002016275,0.00066870044,0.0002793273,0.000052831172,0.000057770863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030332187,0.00022978954,0.000509202,0.00044428164,0.000105354084,0.00006422496,0.00025052618,0.00009468557,0.00011305592],"category_scores_gemma":[0.000095018,0.00021455,0.00010590539,0.00011312261,0.00031753528,0.0001820184,0.000106941974,0.00013916398,0.00002791099],"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":[0.000021367447,0.000017571974,0.0008311976,0.000035620244,0.0000075751077,0.0000031328625,0.00010064507,0.0025844132,0.00015673734,0.99414074,0.000015072795,0.0020858967],"study_design_scores_gemma":[0.00055313914,0.00031053633,0.07451112,0.0006132945,0.000007942998,0.000017708171,0.000040247873,0.054172546,0.00007669968,0.7958092,0.073065735,0.0008218513],"about_ca_topic_score_codex":0.000022235981,"about_ca_topic_score_gemma":0.000025449815,"teacher_disagreement_score":0.8446313,"about_ca_system_score_codex":0.000057690482,"about_ca_system_score_gemma":0.00002823196,"threshold_uncertainty_score":0.8749095},"labels":[],"label_agreement":null},{"id":"W2489822749","doi":"10.1007/978-1-4939-3995-4_23","title":"Histological Fractal-Based Classification of Brain Tumors","year":2016,"lang":"en","type":"book-chapter","venue":"Springer series in computational neuroscience","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Michael's Hospital; University of Toronto","funders":"","keywords":"Grading (engineering); Fractal; Fractal analysis; Pathology; Fractal dimension; Pattern recognition (psychology); Meningioma; Abnormality; Computer science; Artificial intelligence; Biology; Medicine; Mathematics","score_opus":0.02761778983011747,"score_gpt":0.2939945334852568,"score_spread":0.2663767436551393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2489822749","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09647364,0.00068992237,0.18305199,0.13799153,0.0044052536,0.002348644,0.00012772388,0.0005388754,0.5743724],"genre_scores_gemma":[0.95447624,0.000021506949,0.007927746,0.0030464304,0.00013675728,0.000010481316,0.000026029442,0.00004785743,0.034306943],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9982023,0.000027306301,0.00048158035,0.0004887923,0.00061035674,0.00018963273],"domain_scores_gemma":[0.99886703,0.00035268193,0.00033138777,0.00022740732,0.00011309495,0.000108373795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026696923,0.00019988265,0.0003849867,0.00029048522,0.000059600832,0.000015739335,0.00022615118,0.00012149463,0.00009497846],"category_scores_gemma":[0.0008486474,0.00016401398,0.00010117884,0.00008555286,0.0009649554,0.00008917826,0.00007160437,0.00048134523,0.00001085168],"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":[0.00042090676,0.0002433531,0.015274642,0.0004851436,0.000016022028,0.0005902338,0.00011095057,0.009785298,0.025954818,0.91411763,0.0010469044,0.031954065],"study_design_scores_gemma":[0.0032921825,0.0015478728,0.48482835,0.0037500737,0.00008186055,0.0005817637,0.000015603195,0.19192992,0.0004716983,0.10864244,0.2035324,0.0013258568],"about_ca_topic_score_codex":0.0000018203237,"about_ca_topic_score_gemma":5.511089e-7,"teacher_disagreement_score":0.8580026,"about_ca_system_score_codex":0.00010912839,"about_ca_system_score_gemma":0.00037004685,"threshold_uncertainty_score":0.6688296},"labels":[],"label_agreement":null},{"id":"W2493643790","doi":"10.1007/978-1-4939-3995-4_13","title":"Fractal Analysis in Neurological Diseases","year":2016,"lang":"en","type":"book-chapter","venue":"Springer series in computational neuroscience","topic":"Fractal and DNA sequence analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Michael's Hospital; University of Toronto","funders":"","keywords":"Fractal; Fractal analysis; Neuroscience; Mathematics; Psychology; Fractal dimension; Mathematical analysis","score_opus":0.011466639378482874,"score_gpt":0.24430007584239805,"score_spread":0.23283343646391516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2493643790","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":[0.88722485,0.0022123912,0.010127049,0.0042457636,0.0014703979,0.00085021066,0.0007144114,0.00011913372,0.09303582],"genre_scores_gemma":[0.9801731,0.00023176463,0.00024700267,0.0008406391,0.00011318776,0.000011164997,0.00008396738,0.0000196536,0.018279532],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99820393,0.000031823678,0.00034509876,0.00082266325,0.00034211218,0.00025435956],"domain_scores_gemma":[0.9993893,0.00004683825,0.0001439846,0.0002769301,0.00005687833,0.000086054955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009199582,0.00025195544,0.00031432963,0.00038613612,0.000057138153,0.000043819895,0.00039089323,0.00016483438,0.000071776994],"category_scores_gemma":[0.00013244251,0.00021557341,0.0002204553,0.00024852873,0.0004270815,0.000022627351,0.00028035467,0.00018273994,0.000015016473],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008978341,0.00048061766,0.5930372,0.00008374214,0.00028502406,0.0017964728,0.00006817198,0.26535955,0.024849812,0.100339465,0.0002879121,0.012514245],"study_design_scores_gemma":[0.00071099395,0.00079652434,0.87973446,0.000089574,0.00026447797,0.00005560052,0.000008145812,0.0083192615,0.0004077398,0.063502885,0.044475935,0.0016343952],"about_ca_topic_score_codex":0.0000050232215,"about_ca_topic_score_gemma":0.000070176044,"teacher_disagreement_score":0.2866973,"about_ca_system_score_codex":0.000016081713,"about_ca_system_score_gemma":0.000102966645,"threshold_uncertainty_score":0.87908286},"labels":[],"label_agreement":null},{"id":"W2494614050","doi":"10.1007/978-1-4939-3995-4_18","title":"Fractal-Based Analysis of Arteriovenous Malformations (AVMs)","year":2016,"lang":"en","type":"book-chapter","venue":"Springer series in computational neuroscience","topic":"Vascular Malformations Diagnosis and Treatment","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"","keywords":"Radiosurgery; Radiology; Neuroimaging; Medicine; Intracranial Arteriovenous Malformations; Angiography; Radiation therapy; Cerebral angiography","score_opus":0.021156783140131197,"score_gpt":0.26574453966668593,"score_spread":0.24458775652655473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2494614050","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23744664,0.0014968131,0.124238834,0.017571166,0.0029758413,0.0059136185,0.0033402157,0.0005923444,0.6064245],"genre_scores_gemma":[0.9881006,0.00011139199,0.0037660105,0.00073830714,0.000029770457,0.00004061741,0.00016371721,0.00002875968,0.0070208125],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99831474,0.000012514491,0.0005620737,0.00033007478,0.0006063935,0.00017420798],"domain_scores_gemma":[0.9989395,0.0001186372,0.0003089543,0.0003544239,0.00019950447,0.0000789496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011213911,0.00022077216,0.0005096004,0.0010783316,0.000087390945,0.000028237038,0.00015021788,0.000092815106,0.00021827742],"category_scores_gemma":[0.000056442328,0.00018543456,0.00032619017,0.00035348895,0.0002670829,0.0002431481,0.00006156984,0.00013658982,0.00002784081],"study_design_candidate":"observational","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":[0.0002666346,0.001480299,0.034052376,0.0005960588,0.0013306754,0.00036047856,0.0006806496,0.3552895,0.00044578625,0.58899045,0.00018291255,0.016324181],"study_design_scores_gemma":[0.0030764996,0.0014181837,0.82556784,0.0014992673,0.0031873868,0.00014570751,0.00003128335,0.09442208,0.00048665472,0.01295248,0.056030996,0.0011816028],"about_ca_topic_score_codex":0.0000035721137,"about_ca_topic_score_gemma":0.00001227486,"teacher_disagreement_score":0.79151547,"about_ca_system_score_codex":0.00012530328,"about_ca_system_score_gemma":0.00026064666,"threshold_uncertainty_score":0.7561802},"labels":[],"label_agreement":null},{"id":"W2496475229","doi":"10.1007/978-1-4939-3995-4_20","title":"Computational Fractal-Based Analysis of MR Susceptibility-Weighted Imaging (SWI) in Neuro-oncology and Neurotraumatology","year":2016,"lang":"en","type":"book-chapter","venue":"Springer series in computational neuroscience","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"","keywords":"Susceptibility weighted imaging; Neuroimaging; Magnetic resonance imaging; Medicine; Biomarker; Radiology; Glioma; Diffusion MRI; Fractal analysis; Fractal dimension; Pathology; Fractal; Biology; Cancer research","score_opus":0.042439371411067725,"score_gpt":0.3441250715068095,"score_spread":0.30168570009574175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2496475229","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":[0.4684852,0.0005853399,0.44398516,0.043315824,0.0011790884,0.00547115,0.0009149486,0.00090976636,0.03515352],"genre_scores_gemma":[0.97052616,0.000071821516,0.026700016,0.0020738344,0.00002417657,0.000038473936,0.00006518345,0.000052251507,0.00044806025],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99735445,0.000060659873,0.0008396819,0.0010161508,0.00043322518,0.00029583526],"domain_scores_gemma":[0.9979483,0.0009135605,0.00043765662,0.00038018354,0.00020869442,0.00011160142],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001947237,0.00032928347,0.0008109194,0.0014526913,0.00008088377,0.000020062724,0.0002568418,0.00012250339,0.000039641738],"category_scores_gemma":[0.00017359268,0.00032574954,0.00014392693,0.00059851474,0.0012348588,0.00017742538,0.00019729411,0.0005029406,0.000001945094],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006472721,0.00064187805,0.432358,0.0003367901,0.00007054578,0.00092506484,0.0001856341,0.12209397,0.007054889,0.4204491,0.00006776185,0.015169068],"study_design_scores_gemma":[0.0016779273,0.00048000875,0.47610477,0.00031609752,0.00027255417,0.00032003803,0.000010509275,0.37952313,0.00022457355,0.13136317,0.009023354,0.0006838636],"about_ca_topic_score_codex":0.0000066088514,"about_ca_topic_score_gemma":0.000020484771,"teacher_disagreement_score":0.502041,"about_ca_system_score_codex":0.000118294134,"about_ca_system_score_gemma":0.00032783148,"threshold_uncertainty_score":0.9999195},"labels":[],"label_agreement":null},{"id":"W2500098683","doi":"10.1007/978-1-4939-3995-4_12","title":"Fractal Analysis in Clinical Neurosciences: An Overview","year":2016,"lang":"en","type":"book-chapter","venue":"Springer series in computational neuroscience","topic":"Fractal and DNA sequence analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Michael's Hospital; University of Toronto","funders":"","keywords":"Neuroscience; Neuropathology; Clinical neuroscience; Neurology; Fractal analysis; Neuroimaging; Fractal; Medicine; Psychology; Fractal dimension; Pathology; Mathematics; Disease","score_opus":0.05468677545999381,"score_gpt":0.3421948748391957,"score_spread":0.2875080993792019,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2500098683","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":[0.88580424,0.0045207962,0.011610128,0.002699408,0.0061044646,0.0013620043,0.0005357492,0.00015111451,0.08721208],"genre_scores_gemma":[0.9592652,0.0025825205,0.00096651976,0.0018439469,0.00029498624,0.00001479591,0.00009944428,0.000044007942,0.034888584],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970427,0.0000894544,0.0007524365,0.0012703267,0.0005148751,0.00033018325],"domain_scores_gemma":[0.99891514,0.00006145017,0.00029593785,0.000489093,0.000092991504,0.0001453659],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005328024,0.0003114259,0.00046545736,0.00047082998,0.00008753718,0.0000852102,0.0007227895,0.00023637856,0.00005669462],"category_scores_gemma":[0.00020603905,0.00027517744,0.0003103185,0.00044675564,0.00078397547,0.0000673286,0.00032520512,0.00029026862,0.00001566439],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00082049146,0.0015737532,0.4516854,0.00020575359,0.000338703,0.0015722876,0.00017251585,0.21045803,0.048086014,0.2371328,0.0002148543,0.04773939],"study_design_scores_gemma":[0.0013785781,0.002858212,0.8001875,0.0003556317,0.00035978877,0.000108470434,0.000040247112,0.022577956,0.0006658321,0.059063695,0.10909544,0.0033086122],"about_ca_topic_score_codex":0.000015832413,"about_ca_topic_score_gemma":0.00033955404,"teacher_disagreement_score":0.34850213,"about_ca_system_score_codex":0.000030940555,"about_ca_system_score_gemma":0.0002473184,"threshold_uncertainty_score":0.99997},"labels":[],"label_agreement":null},{"id":"W2501466418","doi":"10.1007/978-1-4939-1969-7","title":"Analysis and Modeling of Coordinated Multi-neuronal Activity","year":2014,"lang":"en","type":"book","venue":"Springer series in computational neuroscience","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Spike (software development); Neuroscience; Hippocampus; Psychology; Computer science; Cognitive science","score_opus":0.030533204405657474,"score_gpt":0.27277737944575475,"score_spread":0.24224417504009726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2501466418","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009009118,0.000037641017,0.9888341,0.00038610632,0.00022027724,0.0001964699,0.000016179794,0.000067962894,0.0012321654],"genre_scores_gemma":[0.96607035,0.00003611059,0.027136223,0.00022382848,0.00003784552,0.00001882558,0.000009217417,0.000018037534,0.006449574],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979922,0.000067704466,0.00039438956,0.0008802506,0.00040977728,0.0002556723],"domain_scores_gemma":[0.99884945,0.00020381372,0.00028356732,0.00042892457,0.00014148313,0.000092732924],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002439506,0.00025199965,0.0004348979,0.00047516893,0.0001464259,0.00012568416,0.0009285154,0.00009441009,0.0000019099828],"category_scores_gemma":[0.000041861756,0.0002653218,0.000109282235,0.0011070258,0.0003049946,0.00045832177,0.000656705,0.00033919085,0.0000014956003],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000063242655,0.00005432679,0.0006797704,0.00003496615,0.000013357005,0.0000055764604,0.000040716204,0.95769686,0.00027031204,0.03865397,0.000029572766,0.0025142436],"study_design_scores_gemma":[0.00011936537,0.000043149892,0.010423822,0.000027433081,0.000022658338,0.0000071491154,5.494096e-7,0.98265225,0.000037623755,0.006044219,0.00040228834,0.00021951119],"about_ca_topic_score_codex":0.000013650174,"about_ca_topic_score_gemma":0.000029954348,"teacher_disagreement_score":0.9616979,"about_ca_system_score_codex":0.000040436164,"about_ca_system_score_gemma":0.00018495014,"threshold_uncertainty_score":0.9999799},"labels":[],"label_agreement":null},{"id":"W2505001556","doi":"10.1007/978-1-4939-3995-4","title":"The Fractal Geometry of the Brain","year":2016,"lang":"en","type":"book","venue":"Springer series in computational neuroscience","topic":"Computational Physics and Python Applications","field":"Computer Science","cited_by":113,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"","keywords":"Fractal; Geometry; Mathematics; Mathematical analysis","score_opus":0.012767612242086841,"score_gpt":0.25041028358413026,"score_spread":0.23764267134204342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2505001556","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0022770902,0.00059038564,0.80423194,0.08193458,0.007788913,0.0018246555,0.00020426107,0.00024386648,0.10090432],"genre_scores_gemma":[0.54317766,0.00017039417,0.021483077,0.007960054,0.0010573626,0.00024997853,0.000024660523,0.00014849113,0.4257283],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976453,0.00008064294,0.0004790393,0.0005665492,0.00095562206,0.00027282935],"domain_scores_gemma":[0.99685204,0.001626303,0.00044119984,0.0008155992,0.00021021384,0.00005461794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004135509,0.0002184298,0.00019455848,0.00013175861,0.00046012143,0.00024285087,0.0031012588,0.00006986506,0.0000036516412],"category_scores_gemma":[0.00020624118,0.00013408648,0.00014626695,0.00075351994,0.0007683583,0.00038747612,0.0012644638,0.0003397133,0.000017299777],"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":[0.000002976231,0.000021679736,0.00008388582,0.000010219147,0.0000029123464,0.0000016442322,0.000056196848,0.008892884,0.00012685219,0.9799171,0.0034038809,0.0074797613],"study_design_scores_gemma":[0.00012287046,0.00003418336,0.020065848,0.00008420817,0.0000023122104,0.00001924765,0.0000022710235,0.016945254,0.0000643924,0.7397564,0.22266965,0.00023338439],"about_ca_topic_score_codex":0.0000027405183,"about_ca_topic_score_gemma":0.0000059770978,"teacher_disagreement_score":0.7827489,"about_ca_system_score_codex":0.000098909295,"about_ca_system_score_gemma":0.0009822133,"threshold_uncertainty_score":0.5762962},"labels":[],"label_agreement":null},{"id":"W88184693","doi":"10.1007/978-1-4939-1969-7_3","title":"Overview of Neural Activity in the Awake and Sleeping Hippocampus","year":2014,"lang":"en","type":"book-chapter","venue":"Springer series in computational neuroscience","topic":"Memory and Neural Mechanisms","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Hippocampus; Neuroscience; Hippocampal formation; Engram; Electrophysiology; Theta rhythm; Rest (music); Psychology; Medicine; Internal medicine","score_opus":0.12192941671879957,"score_gpt":0.3202054281941057,"score_spread":0.1982760114753061,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W88184693","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":[0.9812926,0.00025020342,0.0008529255,0.0017126418,0.0018505653,0.00091852044,0.00003918784,0.000060982653,0.01302237],"genre_scores_gemma":[0.996302,0.00020387521,0.00014527557,0.0020418598,0.000046473888,0.00001232213,7.9393493e-7,0.000023545179,0.0012238406],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99756396,0.00022276057,0.00042941282,0.0008016008,0.00068565423,0.00029664085],"domain_scores_gemma":[0.99834603,0.00091290014,0.00032416717,0.00033180168,0.000028550989,0.000056533645],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00053538865,0.00030639852,0.000389461,0.00024994425,0.00015601508,0.00007359765,0.000700609,0.00010504455,0.000015174096],"category_scores_gemma":[0.00041251862,0.00025872723,0.00007209614,0.00023111416,0.0006466691,0.00032599122,0.00031860836,0.00057993026,0.000004159086],"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":[0.00013356509,0.00009770041,0.00055219524,0.000559427,0.0000017024921,0.00033886952,0.0006186513,0.0135440575,0.15114589,0.80408525,0.000016273521,0.028906392],"study_design_scores_gemma":[0.0017259859,0.0013935645,0.06718486,0.0016296806,0.00004039426,0.0013420429,0.00004178277,0.096083745,0.096531875,0.7248931,0.0068380423,0.00229492],"about_ca_topic_score_codex":0.0000031701757,"about_ca_topic_score_gemma":0.0000137653515,"teacher_disagreement_score":0.08253969,"about_ca_system_score_codex":0.00002500193,"about_ca_system_score_gemma":0.000057247384,"threshold_uncertainty_score":0.99998647},"labels":[],"label_agreement":null}]}