{"id":"W2171484293","doi":"10.1177/1740774508089511","title":"Profile-specific survival estimates: Making reports of clinical trials more patient-relevant","year":2008,"lang":"en","type":"article","venue":"Clinical Trials","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Clinical trial; Medicine; Intensive care medicine; Internal medicine","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":[0.5868649,0.002674953,0.00435722,0.02183715,0.001274736,0.02408773,0.005379725,0.006726063,0.009548652],"category_scores_gemma":[0.9226893,0.003204345,0.004329968,0.01415726,0.006693291,0.03227301,0.01004967,0.01157259,0.003638458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005770343,"about_ca_system_score_gemma":0.009535825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001205634,"about_ca_topic_score_gemma":0.000835755,"domain_scores_codex":[0.3080768,0.57284,0.07136264,0.0121553,0.03462286,0.0009424437],"domain_scores_gemma":[0.03525888,0.8031256,0.06643336,0.05815681,0.03547275,0.001552498],"domain_codex":"methods","domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001459849,0.0001484987,0.00972322,0.01367361,0.00292214,0.0002695689,0.007151903,0.009762654,0.0005793815,0.1207718,0.1132372,0.7203001],"study_design_scores_gemma":[0.001559742,0.00101553,0.0102401,0.03855252,0.003515736,0.0008616063,0.002583022,0.01821691,0.003447477,0.4433983,0.4757882,0.000820812],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006078639,0.03826037,0.8019325,0.1028714,0.01673626,0.002655113,0.009628903,0.004996641,0.01684013],"genre_scores_gemma":[0.1443082,0.02770575,0.7648553,0.02104167,0.02142451,0.01010767,0.005622317,0.002766133,0.002168493],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4131351,"threshold_uncertainty_score":0.5094692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7632904334094643,"score_gpt":0.6297236592842288,"score_spread":0.1335667741252355,"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."}}