{"id":"W2046242081","doi":"10.1007/s10985-009-9126-4","title":"Accelerated hazards mixture cure model","year":2009,"lang":"en","type":"article","venue":"Lifetime Data Analysis","topic":"Nuclear and radioactivity studies","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"National Cancer Institute","keywords":"Econometrics; Statistics; Computer science; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.002966534,0.001289465,0.001977811,0.001957583,0.0006073609,0.001654615,0.003119955,0.002621546,0.01137636],"category_scores_gemma":[0.007410793,0.0008255112,0.001938536,0.001376627,0.001080303,0.001897997,0.001544017,0.003100348,0.004773011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006493531,"about_ca_system_score_gemma":0.001150554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003832645,"about_ca_topic_score_gemma":0.002230957,"domain_scores_codex":[0.9989043,0.0004427722,0.00003775148,0.0002557717,0.0002439764,0.0001153235],"domain_scores_gemma":[0.9973947,0.001531976,0.0002434825,0.0003345864,0.0003985843,0.00009667558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002372158,0.0001046783,0.001454152,0.0001630167,0.0001830856,0.0003154557,0.0001461622,0.7754036,0.001322459,0.1611267,0.006892781,0.05265061],"study_design_scores_gemma":[0.00002592201,0.00005144774,0.0003240356,0.00001620706,0.00005800866,0.0001687671,0.00001618969,0.9550806,0.0004295135,0.03925598,0.004550148,0.00002328054],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01682729,0.0006634099,0.9720062,0.0006312517,0.0001794013,0.000121053,0.00096861,0.000773366,0.007829472],"genre_scores_gemma":[0.6896353,0.002391557,0.165474,0.0006604099,0.0005686296,0.0008140537,0.003660345,0.0006803334,0.1361152],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01137636,"threshold_uncertainty_score":0.03805768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02518951112662045,"score_gpt":0.2695417630295732,"score_spread":0.2443522519029527,"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."}}