{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":8,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":8,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"b98bf9e9f0dd","filters":{"venue":"Society of Photo-Optical Instrumentation Engineers eBooks"}},"results":[{"id":"W2493902054","doi":"10.1117/3.1000981.ch4","title":"Satellite Data Compression","year":2013,"lang":"en","type":"book-chapter","venue":"Society of Photo-Optical Instrumentation Engineers eBooks","topic":"Advanced Data Compression Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Canadian Space Agency","funders":"","keywords":"Lossless compression; Lossy compression; Data compression; Hyperspectral imaging; Computer science; Image compression; Redundancy (engineering); Texture compression; Remote sensing; Compression ratio; Multispectral image; Computer vision; Artificial intelligence; Geography; Image processing; Engineering; Image (mathematics)","authors":[{"name":"Shen‐En Qian","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0394548998705135,"gpt":0.2750223561948887,"spread":0.2355674563243753,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004996401,0.000916174,0.0006866856,0.002517558,0.0006329676,0.001603568,0.001185011,0.000866276,0.01725691],"category_scores_gemma":[0.002212621,0.0002449207,0.0006254826,0.003813934,0.0003990177,0.001704361,0.001457086,0.0009552672,0.01304413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005017027,"about_ca_system_score_gemma":0.0006102226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001168041,"about_ca_topic_score_gemma":0.0009425576,"domain_scores_codex":[0.999271,0.00004711554,0.00005603316,0.00008649766,0.000473586,0.00006574021],"domain_scores_gemma":[0.9990649,0.00014494,0.00004037202,0.0002133359,0.0005163571,0.00002013645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002869586,0.00008036877,0.0007434333,0.0008471058,0.000049159,0.0004994239,0.0002024344,0.01796516,0.02522363,0.01844729,0.1061531,0.8295019],"study_design_scores_gemma":[0.0001187683,0.0003132115,0.002404713,0.0005845332,0.00006390413,0.002561745,0.0004823321,0.1675535,0.133486,0.02968592,0.6626104,0.0001349524],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05301636,0.01651354,0.689731,0.002575884,0.006094393,0.001453385,0.01814227,0.02053664,0.1919366],"genre_scores_gemma":[0.2862642,0.02350461,0.4689099,0.002310758,0.002060509,0.001361046,0.0587836,0.0029434,0.153862],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01725691,"threshold_uncertainty_score":0.05773014,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2482422384","doi":"10.1117/3.1000981.ch5","title":"Satellite Data Formatting and Packetization","year":2013,"lang":"en","type":"book-chapter","venue":"Society of Photo-Optical Instrumentation Engineers eBooks","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Canadian Space Agency","funders":"","keywords":"Metadata; Disk formatting; Housekeeping; Computer science; Spacecraft; Data system; International Space Station; World Wide Web; Database; Engineering","authors":[{"name":"Shen‐En Qian","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03062558728657341,"gpt":0.2381820370404851,"spread":0.2075564497539117,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007896214,0.0008808203,0.0005669265,0.002338875,0.0007953304,0.00415805,0.001595383,0.0005685252,0.03164819],"category_scores_gemma":[0.002227957,0.0004831398,0.0004698701,0.005320968,0.0005986827,0.002724491,0.001171159,0.001633059,0.03485499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009889968,"about_ca_system_score_gemma":0.001518191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003810519,"about_ca_topic_score_gemma":0.002078545,"domain_scores_codex":[0.999368,0.00005875865,0.00005258309,0.0001247541,0.0003438851,0.00005205708],"domain_scores_gemma":[0.9990523,0.0001592574,0.00002753726,0.0002581261,0.0004696172,0.00003317527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005297837,0.00006059339,0.0002372628,0.0003993398,0.00000821713,0.0001793292,0.0006722084,0.004046434,0.008069471,0.150928,0.1905136,0.6448326],"study_design_scores_gemma":[0.00000575362,0.0000162565,0.0001768054,0.0001317048,0.00000520068,0.0002379624,0.0000864059,0.002861696,0.006347429,0.01481499,0.9752939,0.00002195293],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.004472133,0.005205967,0.5232455,0.001508406,0.002862315,0.001009774,0.006418075,0.01094053,0.4443374],"genre_scores_gemma":[0.0342946,0.01856038,0.343552,0.00110905,0.0009056319,0.0009480745,0.01819355,0.008333112,0.5741035],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03164819,"threshold_uncertainty_score":0.1058738,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2505823270","doi":"10.1117/3.1002297.ch6","title":"Optimizing the Performance of Onboard Data Compression","year":2013,"lang":"en","type":"book-chapter","venue":"Society of Photo-Optical Instrumentation Engineers eBooks","topic":"CCD and CMOS Imaging Sensors","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Canadian Space Agency","funders":"","keywords":"Radiance; Computer science; Remote sensing; Data compression; Hyperspectral imaging; Lossless compression; Preprocessor; Artificial intelligence; Computer vision; Geography","authors":[{"name":"Shen‐En Qian","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02434620267409703,"gpt":0.2264474972078611,"spread":0.2021012945337641,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007737807,0.001315803,0.0004724663,0.0009606168,0.0004269197,0.001754325,0.001238967,0.0005954672,0.005406923],"category_scores_gemma":[0.003272398,0.0001693326,0.0003289155,0.0008944222,0.0003702762,0.001863186,0.001090024,0.0007601536,0.001890506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007405879,"about_ca_system_score_gemma":0.0007004468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003136319,"about_ca_topic_score_gemma":0.002463001,"domain_scores_codex":[0.9990776,0.00008143258,0.00004833854,0.0001141363,0.0005172028,0.0001612033],"domain_scores_gemma":[0.9988612,0.0003359921,0.00008486121,0.0001805095,0.0004871164,0.00005024011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001034141,0.0004267551,0.004213118,0.0003954814,0.00008083924,0.000547416,0.0003803888,0.08255324,0.2653422,0.003902999,0.007179727,0.6339436],"study_design_scores_gemma":[0.00008170415,0.000699319,0.004983156,0.00009005534,0.0000728762,0.0004237363,0.0003881393,0.4401973,0.5293385,0.001740114,0.02192244,0.00006267773],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.4943323,0.002800584,0.461388,0.0009407465,0.0005722155,0.0005139871,0.0005392748,0.007716972,0.03119601],"genre_scores_gemma":[0.8229753,0.001437176,0.1609088,0.0003429099,0.000142638,0.0001313113,0.001605178,0.001031791,0.01142483],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.005406923,"threshold_uncertainty_score":0.01808792,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2483150783","doi":"10.1117/3.1002297.ch7","title":"Data Compression Engines aboard a Satellite","year":2013,"lang":"en","type":"book-chapter","venue":"Society of Photo-Optical Instrumentation Engineers eBooks","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Canadian Space Agency","funders":"","keywords":"Application-specific integrated circuit; Computer science; Field-programmable gate array; Scalability; Embedded system; Network topology; Computer hardware; Lossless compression; Computer architecture; Data compression; Digital signal processing; Lossy compression","authors":[{"name":"Shen‐En Qian","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03499888456926101,"gpt":0.2636087721553965,"spread":0.2286098875861355,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008888382,0.0006440443,0.0003192431,0.0005210159,0.0002940157,0.001017993,0.0007541152,0.0004409321,0.01134913],"category_scores_gemma":[0.0001807152,0.0002906437,0.0002876702,0.0006985496,0.000228017,0.0009434071,0.0002955869,0.0006832418,0.004943722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004346699,"about_ca_system_score_gemma":0.0003455016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006780066,"about_ca_topic_score_gemma":0.001188447,"domain_scores_codex":[0.9998585,0.000005534487,0.000004699558,0.00002126865,0.0000994618,0.00001058764],"domain_scores_gemma":[0.9999382,0.00001562987,0.00000312972,0.000008547725,0.00003067341,0.000003820862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001166216,0.00005683747,0.0003059943,0.0004717761,0.00002141364,0.000275426,0.0002605866,0.008956786,0.1088359,0.03919291,0.01967018,0.8218356],"study_design_scores_gemma":[0.00002820479,0.000270532,0.0009876867,0.0002391751,0.00003599843,0.00141078,0.0001214511,0.05824503,0.1336537,0.008477202,0.7964901,0.00004009971],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05638205,0.02169929,0.5079148,0.0006347999,0.001873792,0.0003763039,0.0005382362,0.006464316,0.4041164],"genre_scores_gemma":[0.1587816,0.01843646,0.3152371,0.0005662687,0.0004149429,0.0001284789,0.001301591,0.0009566636,0.5041769],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01134913,"threshold_uncertainty_score":0.03796667,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2503525907","doi":"10.1117/3.1000981.ch11","title":"Increasing the Signal-to-Noise Ratio of Satellite Sensors Using Digital Denoising","year":2013,"lang":"en","type":"book-chapter","venue":"Society of Photo-Optical Instrumentation Engineers eBooks","topic":"CCD and CMOS Imaging Sensors","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Canadian Space Agency","funders":"","keywords":"Satellite; Computer science; Noise (video); SIGNAL (programming language); Signal-to-noise ratio (imaging); Remote sensing; Real-time computing; Electronic engineering; Detector; Artificial intelligence; Telecommunications; Engineering; Geography; Aerospace engineering","authors":[{"name":"Shen‐En Qian","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01427349952562943,"gpt":0.2122306157812379,"spread":0.1979571162556085,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004199202,0.000742464,0.0007458584,0.001414309,0.0002044278,0.001388675,0.0009179802,0.001063205,0.008650612],"category_scores_gemma":[0.001022093,0.0004565589,0.0005398552,0.001667563,0.0006392858,0.00214328,0.0006369668,0.001523107,0.007170056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007218978,"about_ca_system_score_gemma":0.0002341644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005016329,"about_ca_topic_score_gemma":0.0005521739,"domain_scores_codex":[0.9994621,0.00003177794,0.00002159499,0.0001079197,0.0003608993,0.00001575805],"domain_scores_gemma":[0.9996638,0.0001104018,0.00002162382,0.00003415718,0.0001577896,0.00001221763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001155489,0.00004470416,0.0003408591,0.001714758,0.00005264118,0.0003084658,0.000214059,0.01032416,0.1203647,0.03685732,0.04393752,0.7857254],"study_design_scores_gemma":[0.00001794212,0.0001916211,0.001196404,0.0004048279,0.00009186036,0.001695261,0.0000972615,0.07752603,0.1052029,0.02962185,0.7838801,0.00007407653],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009013552,0.05361181,0.7778232,0.001809315,0.002594339,0.0001376421,0.0003077714,0.002918804,0.1517836],"genre_scores_gemma":[0.09587626,0.06158274,0.5651525,0.002337126,0.001745594,0.0002073212,0.0009895929,0.001647593,0.2704613],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008650612,"threshold_uncertainty_score":0.02893913,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2497104813","doi":"10.1117/3.1002297.ch8","title":"User Acceptability Study of Satellite Data Compression","year":2013,"lang":"en","type":"book-chapter","venue":"Society of Photo-Optical Instrumentation Engineers eBooks","topic":"Advanced Data Compression Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Canadian Space Agency","funders":"","keywords":"Lossy compression; Lossless compression; Vector quantization; Data compression; Computer science; Hyperspectral imaging; Data compression ratio; Quantization (signal processing); Compression ratio; Image compression; Algorithm; Remote sensing; Artificial intelligence; Geography; Engineering; Image processing","authors":[{"name":"Shen‐En Qian","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03988409442465658,"gpt":0.2943121184179029,"spread":0.2544280239932464,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00577949,0.0004508526,0.0005690156,0.001169037,0.0006549387,0.001938582,0.0007713619,0.0006635693,0.006817352],"category_scores_gemma":[0.03671856,0.0001735167,0.000463135,0.0008356372,0.0004816261,0.001310026,0.0009391271,0.0007755957,0.001907513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006882823,"about_ca_system_score_gemma":0.0002345885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001121542,"about_ca_topic_score_gemma":0.001004788,"domain_scores_codex":[0.9933129,0.002565851,0.0002905908,0.0003900141,0.003285711,0.0001549778],"domain_scores_gemma":[0.9386308,0.04177073,0.001352804,0.001990315,0.01535665,0.0008988062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003936877,0.004556621,0.1789491,0.003048254,0.0002630489,0.0032447,0.1153913,0.003346209,0.03713462,0.0072841,0.05945656,0.5833886],"study_design_scores_gemma":[0.0003815608,0.02786189,0.4996343,0.001709971,0.0006119676,0.01123306,0.1280573,0.04171381,0.06631456,0.004445942,0.2170482,0.0009874307],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9626454,0.0005419356,0.004259732,0.0005595172,0.00007043655,0.0002090829,0.000504127,0.000385101,0.03082463],"genre_scores_gemma":[0.9725482,0.0004405511,0.004956869,0.0004112598,0.00004960094,0.000325377,0.0009838109,0.0001804739,0.02010375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006817352,"threshold_uncertainty_score":0.0305652,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2495176766","doi":"10.1117/3.1002245.ch20","title":"Near-Infrared Light Detection using CMOS Silicon Avalanche Photodiodes (SiAPDs)","year":2013,"lang":"en","type":"book-chapter","venue":"Society of Photo-Optical Instrumentation Engineers eBooks","topic":"Advanced Optical Sensing Technologies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Avalanche photodiode; Near-infrared spectroscopy; Optoelectronics; Materials science; Silicon photomultiplier; Photodetector; Optics; Photodiode; Absorption (acoustics); Spectroscopy; Infrared; Functional near-infrared spectroscopy; Physics; Detector; Scintillator; Medicine","authors":[{"name":"Ehsan Kamrani","is_ca":true},{"name":"Frédéric Lesage","is_ca":true},{"name":"Mohamad Sawan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01475675512479086,"gpt":0.2312495326636275,"spread":0.2164927775388367,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003308967,0.0006446713,0.0003440695,0.0005006553,0.0002298043,0.0008267778,0.001355344,0.0008350314,0.002859806],"category_scores_gemma":[0.0008178502,0.0004010071,0.0003820032,0.0005777304,0.0002604242,0.001073981,0.0004436528,0.0005657988,0.002207583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007399636,"about_ca_system_score_gemma":0.000423107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005752583,"about_ca_topic_score_gemma":0.0008655372,"domain_scores_codex":[0.9994003,0.00003316165,0.00003798674,0.0001805771,0.0002886052,0.00005940151],"domain_scores_gemma":[0.999655,0.00007743897,0.0000760712,0.00003002894,0.0001441242,0.00001744724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000192937,0.0000841055,0.001775315,0.00110471,0.00009182288,0.0004660199,0.0001466064,0.002082129,0.8610315,0.00669919,0.007457879,0.1188677],"study_design_scores_gemma":[0.00006137007,0.000517947,0.00169602,0.0001201928,0.00006793928,0.001333233,0.0001036156,0.01980346,0.8919106,0.00226795,0.0820439,0.00007390348],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.177446,0.02571799,0.7239397,0.00150242,0.002026427,0.0007231866,0.002904986,0.007237145,0.05850226],"genre_scores_gemma":[0.6600602,0.009115904,0.3077632,0.001021235,0.0002702535,0.0004567368,0.001079442,0.0001323913,0.02010049],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.002859806,"threshold_uncertainty_score":0.009566963,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2480492606","doi":"10.1117/3.1000499.ch1","title":"Detection of Architectural Distortion in Prior Mammograms Using Statistical Measures of Angular Spread","year":2013,"lang":"en","type":"book-chapter","venue":"Society of Photo-Optical Instrumentation Engineers eBooks","topic":"AI in cancer detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Mammography; Breast cancer; Distortion (music); Medicine; Breast cancer screening; Radiology; Cancer; Artificial intelligence; Computer science; Internal medicine; Telecommunications","authors":[{"name":"Rangaraj M. Rangayyan","is_ca":true},{"name":"Shantanu Banik","is_ca":true},{"name":"J. E. Leo Desautels","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02491980846995769,"gpt":0.2402705775220672,"spread":0.2153507690521095,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00248949,0.0006690628,0.0006077352,0.007192852,0.0002703967,0.001314367,0.0004330713,0.0004088477,0.001161088],"category_scores_gemma":[0.009941683,0.0002987341,0.0006363874,0.003630018,0.0004761293,0.0009258355,0.0006661278,0.0004341944,0.0005427465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000454442,"about_ca_system_score_gemma":0.0005147865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003441906,"about_ca_topic_score_gemma":0.004975152,"domain_scores_codex":[0.9983559,0.0002845231,0.0002169582,0.0002753443,0.0007630254,0.0001042362],"domain_scores_gemma":[0.9923899,0.003538155,0.001668648,0.0007080203,0.001469007,0.000226342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001278665,0.0001995136,0.4873582,0.0004254185,0.0007464647,0.0006263653,0.0005012669,0.03221286,0.03505838,0.001771171,0.001546369,0.4382752],"study_design_scores_gemma":[0.00003574159,0.0005423545,0.72496,0.00007742384,0.0003412651,0.00310309,0.0004878422,0.2441983,0.01915122,0.002212776,0.004727921,0.0001621253],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7393656,0.004280348,0.2472213,0.0002058067,0.00009715198,0.000289009,0.001690393,0.002058005,0.004792421],"genre_scores_gemma":[0.9500293,0.001043138,0.04668345,0.0000338063,0.00005914209,0.00007017217,0.001294876,0.0000692044,0.0007170149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007192852,"threshold_uncertainty_score":0.01316583,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}