{"id":"W4285077014","doi":"10.1158/2159-8290.cd-21-1547","title":"AACR Project GENIE: 100,000 Cases and Beyond","year":2022,"lang":"en","type":"article","venue":"Cancer Discovery","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":104,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network; University of Toronto; Ontario Institute for Cancer Research","funders":"National Cancer Institute; Cancer Research UK; Children's Hospital of Philadelphia; Eli Lilly and Company; American Association for Cancer Research","keywords":"Milestone; Cancer; Genomics; Precision medicine; Resource (disambiguation); Clinical trial; Data science; Medicine; Genome; Bioinformatics; Computer science; Biology; Geography; Gene; Genetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006455942,0.0001220048,0.0001111586,0.00003308285,0.0001761916,0.00005728519,0.0001227682,0.00003664038,0.00007859979],"category_scores_gemma":[0.00003382721,0.0001278822,0.00005458369,0.00007952969,0.00006443892,0.000006032795,0.0003383196,0.00008006694,9.026998e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005923482,"about_ca_system_score_gemma":0.0002947607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005443088,"about_ca_topic_score_gemma":0.0002606664,"domain_scores_codex":[0.9992183,0.00002563743,0.0001164843,0.0003329381,0.0001029736,0.0002037075],"domain_scores_gemma":[0.9996188,0.00002504312,0.00005264898,0.0002361295,0.0000202712,0.00004707803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001323512,0.0004212297,0.07630796,0.0001890995,0.000486108,0.0001861322,0.000908878,0.00295085,0.4352735,0.002635316,0.4468235,0.03249385],"study_design_scores_gemma":[0.0009707631,0.000639715,0.00458948,0.000007622681,0.00007193679,0.0001267813,0.0007730764,0.00004297981,0.03027074,0.000181115,0.9618428,0.0004830179],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9809744,0.01544114,0.00005808594,0.0002068779,0.0004998221,0.0002024084,0.001263062,0.000007487901,0.001346698],"genre_scores_gemma":[0.9918616,0.003489714,0.00005108485,0.001559849,0.0004188847,0.00024726,0.0001759703,0.00002619047,0.002169405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5150192,"threshold_uncertainty_score":0.5214884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01376351194566876,"score_gpt":0.2690692035214192,"score_spread":0.2553056915757504,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}