{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01042835,0.002000217,0.003091057,0.00368089,0.000624924,0.004000016,0.005029273,0.003578179,0.006366562],"category_scores_gemma":[0.02386012,0.001432969,0.003396716,0.002516111,0.001539917,0.005149964,0.003197522,0.005865925,0.0024989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002128571,"about_ca_system_score_gemma":0.002440396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003436263,"about_ca_topic_score_gemma":0.002201185,"domain_scores_codex":[0.9944906,0.003093186,0.0002912774,0.0007017697,0.001076151,0.000347058],"domain_scores_gemma":[0.9924061,0.005060001,0.0006068588,0.0007735069,0.0008926442,0.0002609639],"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":[0.00003447481,0.00006231399,0.0007190921,0.0001587164,0.0001358619,0.0001248345,0.0001861518,0.182861,0.000286966,0.7728546,0.005471653,0.03710434],"study_design_scores_gemma":[0.00003408836,0.00005482201,0.0002322044,0.00009109121,0.00006651307,0.0001595112,0.00003702794,0.5391071,0.0001118908,0.4444269,0.01562679,0.0000520447],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001417397,0.001714346,0.9917393,0.00125993,0.0001494239,0.00004498613,0.0001857359,0.0001553614,0.00333353],"genre_scores_gemma":[0.3184378,0.01596182,0.6211195,0.002548801,0.003253943,0.001615297,0.00164726,0.0007657292,0.03464981],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01042835,"threshold_uncertainty_score":0.05515105,"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."}}