{"id":"W4239660474","doi":"10.1016/j.cell.2021.03.004","title":"Connecting communities to tackle cancer from many sides","year":2021,"lang":"en","type":"article","venue":"Cell","topic":"Economic and Financial Impacts of Cancer","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Canadian Cancer Society","keywords":"Biology; Conversation; Cancer drugs; CLARITY; Cancer; Clinical trial; Work (physics); Sociology; Bioinformatics; Genetics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001201721,0.0001281284,0.0003449097,0.00006529006,0.0001434248,0.00012184,0.0002041015,0.00007878704,0.004593946],"category_scores_gemma":[0.00005395958,0.0001697099,0.00008504809,0.0001084386,0.00002189594,0.0001924737,0.000119575,0.0001430379,0.001483345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001375677,"about_ca_system_score_gemma":0.00004983398,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008279889,"about_ca_topic_score_gemma":0.002423849,"domain_scores_codex":[0.9990999,0.000009723487,0.000358584,0.0002369733,0.00001613278,0.0002787279],"domain_scores_gemma":[0.999248,0.00009015667,0.0001524189,0.0003550485,0.00004288323,0.0001114871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002071742,0.0008709133,0.459968,0.0003646523,0.0006274575,0.0001542381,0.05798268,0.01207552,0.008452674,0.2848885,0.1280995,0.04630873],"study_design_scores_gemma":[0.0007865697,0.00004767797,0.02615895,0.0000664074,0.00001283719,0.000001941708,0.003282326,0.0009727205,0.02428119,0.0331624,0.9105676,0.0006594312],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8695291,0.008184614,0.001347902,0.0009641288,0.0008441591,0.0000735358,0.0004634876,0.00003635168,0.1185567],"genre_scores_gemma":[0.9910203,0.0005774809,0.001037263,0.002539073,0.0003310635,0.0000202852,0.00003109669,0.00003112067,0.00441228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7824681,"threshold_uncertainty_score":0.9992941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04447274610285964,"score_gpt":0.2408131576422433,"score_spread":0.1963404115393836,"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."}}