{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005300391,0.0003198479,0.0004946237,0.002133394,0.002489437,0.006227861,0.001207345,0.004529438,0.01876857],"category_scores_gemma":[0.02178874,0.0001848803,0.0004990132,0.002095004,0.004129216,0.006793785,0.008209566,0.005225264,0.001147257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003389197,"about_ca_system_score_gemma":0.007968103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009755966,"about_ca_topic_score_gemma":0.0143449,"domain_scores_codex":[0.9967278,0.001904557,0.00004616606,0.0002138314,0.0005041754,0.0006033775],"domain_scores_gemma":[0.9828456,0.0068361,0.001214062,0.0005981452,0.002184267,0.006321747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002829244,0.0006204468,0.02384477,0.0004773375,0.0003369602,0.0005577855,0.003153856,0.008184944,0.0005271319,0.617952,0.1552864,0.1887755],"study_design_scores_gemma":[0.0001469986,0.0002136155,0.005927134,0.0006550755,0.00008487264,0.0002425351,0.008240154,0.006376732,0.0003503817,0.7128839,0.2648236,0.00005483392],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.07444568,0.01865994,0.01916996,0.7748562,0.003968947,0.0001121988,0.000340404,0.0001193684,0.1083274],"genre_scores_gemma":[0.9141942,0.01058303,0.005463214,0.04317415,0.004188485,0.0001775381,0.0001691632,0.00009154084,0.02195876],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01876857,"threshold_uncertainty_score":0.06278718,"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."}}