{"id":"W2977548824","doi":"10.1177/1740774519876912","title":"Comparison between protocols and publications for prognostic and predictive cancer biomarker studies","year":2019,"lang":"en","type":"article","venue":"Clinical Trials","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Genome Canada","keywords":"Medicine; Biomarker; Oncology; Cancer; Internal medicine; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"category_scores_codex":[0.5320569,0.001629249,0.003541815,0.04103921,0.002525518,0.01144495,0.00559102,0.003287752,0.009540925],"category_scores_gemma":[0.8425243,0.002113667,0.004829579,0.04569355,0.00635676,0.01107471,0.01357732,0.002266007,0.002146821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0061387,"about_ca_system_score_gemma":0.02155931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001233189,"about_ca_topic_score_gemma":0.001259862,"domain_scores_codex":[0.2339379,0.2844191,0.3815205,0.02381455,0.07288273,0.003425318],"domain_scores_gemma":[0.04894013,0.6733766,0.1649827,0.05330867,0.05752649,0.001865428],"domain_codex":"reporting","domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":"reporting","study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006910689,0.0003966663,0.3018714,0.2862205,0.01221772,0.001275883,0.03747048,0.00143928,0.00375046,0.02613258,0.02430509,0.2980092],"study_design_scores_gemma":[0.003452691,0.001758387,0.3364146,0.2694641,0.02034853,0.004298878,0.01933005,0.002672199,0.01117866,0.05240184,0.2778119,0.0008681274],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.318055,0.2475495,0.186821,0.02597907,0.008399819,0.08625638,0.07421899,0.001861084,0.05085901],"genre_scores_gemma":[0.6557607,0.03881131,0.1254406,0.008599617,0.002220704,0.1365995,0.02752978,0.001265274,0.00377245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4679431,"threshold_uncertainty_score":0.5770572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9841015201374957,"score_gpt":0.7837125324978088,"score_spread":0.2003889876396869,"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."}}