{"id":"W2586063427","doi":"10.1016/j.cell.2017.01.027","title":"Cancer Clinical Trials: The Rear-View Mirror and the Crystal Ball","year":2017,"lang":"en","type":"article","venue":"Cell","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"","keywords":"Biology; Clinical trial; Medical physics; Bioinformatics; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0295329,0.0005592603,0.001587217,0.0005670916,0.001058326,0.005877008,0.001506187,0.004566842,0.01669932],"category_scores_gemma":[0.04136949,0.0004703341,0.0008935997,0.0005841252,0.004296743,0.004600837,0.003786743,0.005678827,0.00405662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002794515,"about_ca_system_score_gemma":0.005301862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002271292,"about_ca_topic_score_gemma":0.002636041,"domain_scores_codex":[0.9777117,0.0156489,0.0005550699,0.001038623,0.004283515,0.0007621839],"domain_scores_gemma":[0.9821531,0.01058707,0.00202799,0.001509694,0.002172146,0.001549998],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.007307676,0.0003233685,0.00314891,0.001498126,0.0002884452,0.0004452186,0.000437136,0.001519534,0.006333525,0.2215694,0.32238,0.4347486],"study_design_scores_gemma":[0.003666492,0.004640445,0.004801227,0.002289015,0.0002282492,0.002208943,0.0009050834,0.00485744,0.00640808,0.2064671,0.7633189,0.0002090735],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.03353379,0.1484335,0.05364402,0.6260563,0.02274835,0.0007368191,0.0008106672,0.0007900807,0.1132465],"genre_scores_gemma":[0.5316985,0.07414165,0.0781654,0.2344277,0.02013441,0.00167605,0.0006035989,0.000818436,0.05833418],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9704671,"threshold_uncertainty_score":0.1561868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07983091064103544,"score_gpt":0.396536259943268,"score_spread":0.3167053493022326,"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."}}