{"id":"W1992492447","doi":"10.1080/09720510.2009.10701386","title":"An analytical approach on estimation of cure rate from mixture model based on Type 2 censoring","year":2009,"lang":"en","type":"article","venue":"Journal of Statistics and Management Systems","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Censoring (clinical trials); Estimation; Statistics; Econometrics; Mathematics; Computer science; Applied mathematics; Economics","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":[0.009050032,0.00096113,0.00182523,0.002702703,0.0004455505,0.001578886,0.002540193,0.001974976,0.002877445],"category_scores_gemma":[0.0355874,0.001086927,0.002242895,0.001770945,0.001296342,0.003303857,0.001748606,0.002422364,0.0005235565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001328783,"about_ca_system_score_gemma":0.001036231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002218019,"about_ca_topic_score_gemma":0.00116721,"domain_scores_codex":[0.9958509,0.002248481,0.0001470846,0.0005075653,0.000958089,0.0002878494],"domain_scores_gemma":[0.9862604,0.01079247,0.001029212,0.0006484762,0.001091679,0.000177791],"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":[0.0001393524,0.00007961614,0.007262003,0.0004727835,0.0002639696,0.00054344,0.0006176421,0.6486701,0.004313143,0.2680328,0.002222263,0.06738286],"study_design_scores_gemma":[0.000006974101,0.00002600536,0.0006400192,0.00004137746,0.00003959078,0.0001857939,0.00002467029,0.9695967,0.0005265633,0.02793273,0.00095254,0.00002698688],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004658678,0.0003910528,0.9940438,0.0001697754,0.00002590102,0.00002437421,0.00002447699,0.00007651208,0.0005854109],"genre_scores_gemma":[0.6261405,0.003501597,0.3595353,0.0003873982,0.0003946516,0.0004818947,0.0004021811,0.0002408733,0.008915492],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009050032,"threshold_uncertainty_score":0.0478617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05775459837457547,"score_gpt":0.3500204306731592,"score_spread":0.2922658322985837,"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."}}