{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":5,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":5,"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":"958ffdd5b1b8","filters":{"venue":"Precision Clinical Medicine"}},"results":[{"id":"W2887183444","doi":"10.1093/pcmedi/pby009","title":"Evidence-based medicine and precision medicine: Complementary approaches to clinical decision-making","year":2018,"lang":"en","type":"article","venue":"Precision Clinical Medicine","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":40,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University; Impact","funders":"","keywords":"Precision medicine; Personalized medicine; Evidence-based medicine; Psychosocial; Medicine; Health care; MEDLINE; Clinical decision making; Alternative medicine; Psychology; Family medicine; Bioinformatics; Psychiatry; Pathology; Biology","authors":[{"name":"Ngai Chow","is_ca":true},{"name":"Lucas Gallo","is_ca":true},{"name":"Jason W. Busse","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.3737386116172978,"gpt":0.4952568607811086,"spread":0.1215182491638108,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1099451,0.003191424,0.009164777,0.0152974,0.00272305,0.01894511,0.006225663,0.010919,0.008174093],"category_scores_gemma":[0.1673777,0.001339147,0.00352805,0.009964741,0.02412029,0.01437883,0.009618456,0.01322254,0.001600744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01227222,"about_ca_system_score_gemma":0.01790403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004158548,"about_ca_topic_score_gemma":0.005405592,"domain_scores_codex":[0.8749487,0.09617251,0.006881197,0.003898771,0.01721863,0.0008801113],"domain_scores_gemma":[0.6649881,0.3015109,0.01060882,0.009222043,0.01141292,0.002257231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002863164,0.0003295999,0.001818983,0.02279872,0.002913973,0.0004423489,0.002413079,0.006969197,0.0002285773,0.5787716,0.03311476,0.349913],"study_design_scores_gemma":[0.000163036,0.0001502137,0.0007497004,0.01892791,0.0003673762,0.0002983129,0.0008440217,0.001935548,0.0001551793,0.9140602,0.06219934,0.0001490138],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001871076,0.5239172,0.1929718,0.2217326,0.007984531,0.0008464521,0.0005602494,0.0002308302,0.04988531],"genre_scores_gemma":[0.1381125,0.4398164,0.3349489,0.06380926,0.01697683,0.002984487,0.0004069078,0.0001303203,0.002814454],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.1099451,"threshold_uncertainty_score":0.5814523,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3013086220","doi":"10.1093/pcmedi/pbaa009","title":"RNA-based therapies in animal models of Leber congenital amaurosis causing blindness","year":2020,"lang":"en","type":"article","venue":"Precision Clinical Medicine","topic":"Retinal Development and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Blindness; Medicine; Amaurosis; Genetics; Biology; Optometry","authors":[{"name":"Xia Wang","is_ca":true},{"name":"Xianghong Shan","is_ca":true},{"name":"Kevin Gregory‐Evans","is_ca":true},{"name":"Cheryl Y. Gregory‐Evans","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1003458945866388,"gpt":0.3739751187459009,"spread":0.2736292241592621,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007969384,0.0007451089,0.0007498912,0.0009697095,0.0003924806,0.0005360637,0.0006723019,0.001043835,0.002073969],"category_scores_gemma":[0.0002157617,0.0002188747,0.000665598,0.0002616137,0.0005703698,0.0004121513,0.0003117625,0.001814198,0.0006270721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000747167,"about_ca_system_score_gemma":0.0004302313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00092581,"about_ca_topic_score_gemma":0.001849511,"domain_scores_codex":[0.9993931,0.0001243427,0.0000565082,0.0001155283,0.0002181181,0.00009238326],"domain_scores_gemma":[0.9997962,0.00004134803,0.00005958451,0.00002679749,0.00002729172,0.00004875592],"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":[0.0005771673,0.0004315312,0.0001146906,0.0002191478,0.00004177829,0.0001926802,0.00003332174,0.0002774997,0.9920713,0.000562105,0.0004467798,0.00503211],"study_design_scores_gemma":[0.0003262077,0.008042128,0.001506813,0.00005440021,0.0001381827,0.0006277081,0.00005716533,0.00166763,0.9723577,0.0002816966,0.01491056,0.00002985107],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9359482,0.01843501,0.02732762,0.001388599,0.0007907311,0.001464557,0.002938551,0.001968851,0.009737941],"genre_scores_gemma":[0.965124,0.007579242,0.01600184,0.0004360833,0.00006619498,0.001564248,0.001981005,0.0001156844,0.007131718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002073969,"threshold_uncertainty_score":0.006938159,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4220806821","doi":"10.1093/pcmedi/pbac008","title":"Aminoflavone upregulates putative tumor suppressor miR-125b-2-3p to inhibit luminal A breast cancer stem cell-like properties","year":2022,"lang":"en","type":"article","venue":"Precision Clinical Medicine","topic":"Cancer Cells and Metastasis","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"National Institute of General Medical Sciences; National Institutes of Health","keywords":"SOX2; Cancer research; Breast cancer; Cancer; MCF-7; Cell growth; Carcinogenesis; Cancer stem cell; Gene knockdown; Biology; Internal medicine; Medicine; Cell culture; Gene; Transcription factor; Biochemistry","authors":[{"name":"Nicole Mavingire","is_ca":false},{"name":"P. Campbell","is_ca":false},{"name":"Tiantian Liu","is_ca":false},{"name":"Jonathan Wooten","is_ca":false},{"name":"Salma Khan","is_ca":false},{"name":"Xin Chen","is_ca":false},{"name":"Jason Matthews","is_ca":true},{"name":"Charles Wang","is_ca":false},{"name":"Eileen Brantley","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0767881732393674,"gpt":0.3707184366817913,"spread":0.2939302634424239,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008811626,0.0002787861,0.000260981,0.00021873,0.0001397606,0.0002087503,0.0001347907,0.000240541,0.001456779],"category_scores_gemma":[0.00008896946,0.0001251256,0.0002617637,0.0001322547,0.0001584247,0.0001070899,0.0001046193,0.0005809491,0.0004104172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002455726,"about_ca_system_score_gemma":0.0002260586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009693307,"about_ca_topic_score_gemma":0.00138396,"domain_scores_codex":[0.999895,0.00001075703,0.00000951801,0.00002367162,0.00003408011,0.0000270016],"domain_scores_gemma":[0.999954,0.000008616454,0.00001105725,0.000004305612,0.000007460604,0.00001447982],"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":[0.0002132807,0.00005965868,0.0001250545,0.0000546926,0.000007148818,0.00002402667,0.00001234456,0.00005190022,0.9976364,0.00005625792,0.0001680772,0.001591119],"study_design_scores_gemma":[0.0000589027,0.0006752015,0.00277706,0.000008157006,0.00002903677,0.0001176517,0.00002910919,0.00101053,0.9909145,0.00004331115,0.004330256,0.000006177865],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986508,0.003764383,0.003298434,0.0002862231,0.0001509772,0.0001005295,0.001386572,0.000389063,0.004115743],"genre_scores_gemma":[0.9919949,0.001070956,0.002296572,0.0001929515,0.00001794066,0.00007994394,0.001129036,0.00003239467,0.003185311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001456779,"threshold_uncertainty_score":0.004873395,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4403779619","doi":"10.1093/pcmedi/pbae029","title":"Application of metagenomic next-generation sequencing with brain tissue biopsy for diagnosing intracranial lesions in people with HIV","year":2024,"lang":"en","type":"article","venue":"Precision Clinical Medicine","topic":"HIV Research and Treatment","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University Health Centre","funders":"National Key Research and Development Program of China","keywords":"Metagenomics; Human immunodeficiency virus (HIV); Brain tissue; Brain biopsy; Biopsy; Pathology; Biology; Medicine; Internal medicine; Virology; Gene; Genetics","authors":[{"name":"Ye Xiong","is_ca":false},{"name":"Dairong Xiang","is_ca":false},{"name":"Xiaotang Zhou","is_ca":false},{"name":"Ying Huang","is_ca":false},{"name":"Jean‐Pierre Routy","is_ca":true},{"name":"Biao Zhu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09999380680469952,"gpt":0.4043087408715744,"spread":0.3043149340668749,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001762943,0.000659128,0.0006800435,0.001865433,0.0006654505,0.001751885,0.0006686055,0.001020879,0.0009120757],"category_scores_gemma":[0.003807347,0.0004869532,0.000848126,0.0009766346,0.0003218407,0.0005677048,0.00109572,0.0007989267,0.000237188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005674016,"about_ca_system_score_gemma":0.0006916974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005341343,"about_ca_topic_score_gemma":0.01242896,"domain_scores_codex":[0.9987896,0.0004404072,0.00006982562,0.0003170231,0.0002605996,0.0001225945],"domain_scores_gemma":[0.9991448,0.0003395933,0.0001151606,0.00009086546,0.0002603738,0.00004916374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001548937,0.0002183945,0.7625305,0.0005847089,0.001658772,0.001525612,0.001087746,0.004085001,0.0671687,0.001192808,0.00239491,0.156004],"study_design_scores_gemma":[0.0001260253,0.001156362,0.8124424,0.001370947,0.004422643,0.007046608,0.004667934,0.05541979,0.07584902,0.01132375,0.02594955,0.000224903],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9540911,0.01396787,0.02095616,0.001807505,0.0002743795,0.0002346518,0.004090125,0.0002347374,0.004343499],"genre_scores_gemma":[0.9684523,0.002332644,0.02633453,0.0009649677,0.0001039102,0.00008037277,0.00108831,0.0000399306,0.0006029841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005341343,"threshold_uncertainty_score":0.01062053,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3117494920","doi":"10.1093/pcmedi/pbaa040","title":"Clinical longitudinal evaluation of COVID-19 patients and prediction of organ-specific recovery using artificial intelligence","year":2020,"lang":"en","type":"article","venue":"Precision Clinical Medicine","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Division of Graduate Education; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Artificial intelligence; Machine learning; Computer science; Coronavirus disease 2019 (COVID-19); Receiver operating characteristic; Data set; Medicine; Pathology; Disease; Infectious disease (medical specialty)","authors":[{"name":"Winston Wang","is_ca":false},{"name":"Charlotte L Zhang","is_ca":false},{"name":"Wei Kang","is_ca":false},{"name":"Ye Sang","is_ca":false},{"name":"Jun Shen","is_ca":false},{"name":"Guangyu Wang","is_ca":false},{"name":"Alexander X. Lozano","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.5418552008414215,"gpt":0.5293886521490547,"spread":0.01246654869236674,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00275614,0.0004058915,0.0005154369,0.0009669234,0.0002445416,0.001055108,0.0003654666,0.0003864032,0.000558993],"category_scores_gemma":[0.007323856,0.0001362435,0.0004383815,0.0005897999,0.0003627434,0.0005829892,0.0006354171,0.000788243,0.0001888295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004357365,"about_ca_system_score_gemma":0.0003784208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003145755,"about_ca_topic_score_gemma":0.003708803,"domain_scores_codex":[0.9993405,0.0002600071,0.00008443231,0.0001255652,0.000114455,0.00007500584],"domain_scores_gemma":[0.9964749,0.00146603,0.001037235,0.0003353008,0.0004543086,0.0002322003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003159868,0.00009047355,0.9670253,0.00002434306,0.00008892134,0.0001976022,0.00008742078,0.01306531,0.001655588,0.0001524829,0.000346339,0.01695034],"study_design_scores_gemma":[0.00002855559,0.0008659026,0.7394168,0.00007995961,0.0001010005,0.0006760965,0.0003856594,0.2510892,0.00485921,0.001278306,0.001172564,0.00004680475],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851943,0.0004685441,0.01200884,0.0003804746,0.00001786887,0.0000567248,0.0006275729,0.00008346495,0.00116219],"genre_scores_gemma":[0.9957862,0.0001165183,0.00320444,0.00004896775,0.00001126708,0.00001303204,0.0007196897,0.000004488605,0.00009526245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003145755,"threshold_uncertainty_score":0.01457602,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}