{"id":"W2106247158","doi":"10.1002/cjs.5550330407","title":"Cure rate models: A unified approach","year":2005,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":170,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Markov chain Monte Carlo; Markov chain; Covariate; Class (philosophy); Population; Bayesian probability; Mathematics; Artificial intelligence; Machine learning","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003119936,0.0002002393,0.0006498409,0.0002212878,0.000116653,0.00008761769,0.0004354468,0.0001650677,0.0004448631],"category_scores_gemma":[0.03146145,0.0001746907,0.0001108962,0.0002170546,0.0002328709,0.0001417856,0.00001598028,0.000610286,0.00002250121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002085073,"about_ca_system_score_gemma":0.001334182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001446004,"about_ca_topic_score_gemma":0.001503648,"domain_scores_codex":[0.9972369,0.0005473512,0.001280016,0.000174968,0.0003080831,0.0004526669],"domain_scores_gemma":[0.9871792,0.01018391,0.0006143397,0.0002978341,0.0005957847,0.001128926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000038045,0.00005562306,0.00003702235,0.00007225697,0.0001016988,0.0001705578,0.000327796,0.0007588409,0.000008240489,0.8656822,0.09988312,0.0328646],"study_design_scores_gemma":[0.000809893,0.0001213436,0.00006739121,0.00006342542,0.0001581048,0.00009463121,0.0001287058,0.01281398,0.00002800239,0.9714946,0.01401293,0.0002070562],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0004390735,0.0001393906,0.9839337,0.0006723499,0.0005309316,0.0001694819,0.0007897561,0.00001153007,0.01331375],"genre_scores_gemma":[0.02553311,0.00004800376,0.9724364,0.0004229377,0.000702553,0.000002659525,0.0000028993,0.0000457805,0.0008056762],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1058123,"threshold_uncertainty_score":0.976697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.591728175816646,"score_gpt":0.4805929130659556,"score_spread":0.1111352627506905,"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."}}