{"id":"W2476731337","doi":"10.1186/s40880-016-0132-0","title":"Leveraging the power of pooled data for cancer outcomes research","year":2016,"lang":"en","type":"article","venue":"Chinese Journal of Cancer","topic":"Colorectal Cancer Surgical Treatments","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency","funders":"","keywords":"Medicine; Clinical trial; Nomogram; Colorectal cancer; Cancer; Leverage (statistics); Oncology; Clinical study design; Informed consent; Internal medicine; Alternative medicine; Pathology; Statistics","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":[0.5436498,0.003650561,0.00719978,0.0170142,0.001772801,0.0115157,0.004646395,0.004408738,0.005982641],"category_scores_gemma":[0.78887,0.002429266,0.01591895,0.01917347,0.004441229,0.01379793,0.01423895,0.00591515,0.001443904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002374303,"about_ca_system_score_gemma":0.005136357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001509814,"about_ca_topic_score_gemma":0.001137937,"domain_scores_codex":[0.3772556,0.5245799,0.04374251,0.0288205,0.02371772,0.001883768],"domain_scores_gemma":[0.1330724,0.7293304,0.03271522,0.08890983,0.01474043,0.001231837],"domain_codex":"methods","domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00579044,0.0004917372,0.2630201,0.01870486,0.1132798,0.001136213,0.004370776,0.03332978,0.001579727,0.05757682,0.03071089,0.4700088],"study_design_scores_gemma":[0.004409025,0.003017958,0.1054803,0.01302123,0.06410848,0.001505384,0.001830774,0.1394807,0.005939512,0.5430834,0.1170579,0.001065336],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03709654,0.0149576,0.9038832,0.01144364,0.002425667,0.006519092,0.01218917,0.001892473,0.00959265],"genre_scores_gemma":[0.6650475,0.004184976,0.2988412,0.005125117,0.002827026,0.01442218,0.007663903,0.001276328,0.000611803],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5436498,"threshold_uncertainty_score":0.5627611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1287439472926891,"score_gpt":0.4839319814634987,"score_spread":0.3551880341708096,"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."}}