{"id":"W2157977749","doi":"10.1093/annonc/mds174","title":"Comparison of absolute benefits of anticancer therapies determined by snapshot and area methods","year":2012,"lang":"en","type":"article","venue":"Annals of Oncology","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; McMaster University","funders":"","keywords":"Medicine; Absolute risk reduction; Clinical trial; Colorectal cancer; Randomized controlled trial; Adjuvant therapy; Adjuvant; Internal medicine; Clinical endpoint; Oncology; Confidence interval; Cancer","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":[0.05487736,0.001021618,0.003928537,0.001302162,0.0002193638,0.001492155,0.001496737,0.001349248,0.003120396],"category_scores_gemma":[0.1372839,0.000501701,0.003197927,0.001304072,0.001436504,0.002211203,0.001641678,0.002187151,0.000170167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008202752,"about_ca_system_score_gemma":0.001350815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006875464,"about_ca_topic_score_gemma":0.0007481973,"domain_scores_codex":[0.9652377,0.03145373,0.0008134257,0.0009228548,0.001296244,0.0002760578],"domain_scores_gemma":[0.6667364,0.316468,0.006727045,0.006832493,0.001993308,0.001242791],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.2684846,0.001125944,0.06777979,0.007634745,0.04607819,0.0001988022,0.0009468858,0.1906723,0.001923377,0.04740972,0.004746405,0.3629993],"study_design_scores_gemma":[0.03009772,0.07159663,0.1266432,0.002067261,0.05340482,0.0009695452,0.001170977,0.547265,0.008065529,0.1492468,0.009065386,0.0004071862],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7687897,0.03388523,0.1860165,0.00186064,0.0007270296,0.0008133758,0.001880817,0.000346854,0.005679774],"genre_scores_gemma":[0.9647982,0.002160973,0.03077439,0.0004273829,0.0001762032,0.0003692299,0.0006642305,0.00006190746,0.0005673511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9451227,"threshold_uncertainty_score":0.2902226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8201028135580092,"score_gpt":0.6917364243737233,"score_spread":0.1283663891842859,"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."}}