{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.3228585,0.000185125,0.006751782,0.0001415236,0.0001131003,0.00058876,0.0005050326,0.0001278863,0.0006672718],"category_scores_gemma":[0.5030513,0.00008031568,0.0009530527,0.0004471241,0.0001902077,0.0001768448,0.0001592556,0.0001086342,0.0001624416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001051337,"about_ca_system_score_gemma":0.00007761114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.790839e-7,"about_ca_topic_score_gemma":0.00000407913,"domain_scores_codex":[0.9630314,0.01835665,0.01590507,0.001124015,0.001386287,0.0001965522],"domain_scores_gemma":[0.7194057,0.2642559,0.01123537,0.002272333,0.002503639,0.0003270343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003372204,0.00004468112,0.9023325,0.00008284482,0.0007910483,2.661488e-8,0.00009649071,9.251352e-7,0.00000583376,0.0003119499,0.04459651,0.05170349],"study_design_scores_gemma":[0.001443033,0.0003393834,0.7755466,0.0001537791,0.001114307,3.211505e-7,0.0004582617,0.002834603,0.000007461666,0.01534159,0.2026102,0.0001505023],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7426348,0.008828641,0.02037214,0.01380647,0.001085341,0.2108103,0.0009502808,0.00003056713,0.001481458],"genre_scores_gemma":[0.9395629,0.0001916192,0.005089708,0.0002768974,0.0006683161,0.0435997,0.0000196259,0.00001834148,0.01057289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2458992,"threshold_uncertainty_score":0.7306159,"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."}}