{"id":"W2762940523","doi":"10.1177/0962280217734969","title":"Cure rate modelling","year":2017,"lang":"en","type":"article","venue":"Statistical Methods in Medical Research","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Statistics; 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":[0.004692084,0.001607268,0.002343468,0.002804819,0.0005552775,0.002417808,0.003275191,0.003618201,0.009801923],"category_scores_gemma":[0.01548127,0.0009462315,0.004440603,0.002043323,0.0009868104,0.001955249,0.00130187,0.0035964,0.008325249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001026002,"about_ca_system_score_gemma":0.0009970507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003110031,"about_ca_topic_score_gemma":0.001892228,"domain_scores_codex":[0.9972286,0.0009095255,0.0001397275,0.0007315115,0.0007299216,0.0002607808],"domain_scores_gemma":[0.9952852,0.00262171,0.0005223462,0.0008897508,0.0005674082,0.0001135896],"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":[0.0002429626,0.0001719475,0.002276538,0.0003965535,0.0002718676,0.0002053094,0.000232044,0.6688416,0.005077156,0.160534,0.01195963,0.1497904],"study_design_scores_gemma":[0.00001618625,0.00006971241,0.0007831003,0.00005126246,0.00007656966,0.0002239516,0.00002056035,0.9426408,0.002411413,0.04046147,0.01319003,0.00005488766],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01180234,0.001184342,0.9749674,0.0004707001,0.0002734851,0.0001760847,0.001479194,0.001367059,0.008279346],"genre_scores_gemma":[0.6497822,0.00360941,0.2392645,0.0009531455,0.0006991873,0.001210828,0.006945794,0.001585578,0.09594941],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009801923,"threshold_uncertainty_score":0.03279072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.183779304838902,"score_gpt":0.5401490284692693,"score_spread":0.3563697236303672,"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."}}