{"id":"W2057727296","doi":"10.1007/s10985-011-9213-1","title":"An extended cure model and model selection","year":2012,"lang":"en","type":"article","venue":"Lifetime Data Analysis","topic":"Innovative Microfluidic and Catalytic Techniques Innovation","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Selection (genetic algorithm); Computer science; Model selection; Econometrics; Statistics; Mathematics; Mathematical economics; Artificial intelligence","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":[0.005564352,0.001474336,0.002734318,0.002147042,0.0008172939,0.001616141,0.003314498,0.0030722,0.006182712],"category_scores_gemma":[0.0166089,0.001118898,0.002648022,0.001557302,0.001128254,0.002237158,0.001823656,0.002820587,0.001196796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009455163,"about_ca_system_score_gemma":0.001485886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009598571,"about_ca_topic_score_gemma":0.005124908,"domain_scores_codex":[0.9985681,0.0007565258,0.00005865554,0.0003062923,0.000181016,0.0001293594],"domain_scores_gemma":[0.9905084,0.007821339,0.0004841005,0.0004247792,0.0006020145,0.0001593642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008244457,0.00004182345,0.0007363086,0.00006196881,0.00009901635,0.0001324028,0.00004933631,0.965459,0.0002171729,0.01970975,0.001583659,0.01182708],"study_design_scores_gemma":[0.000008828345,0.000008738717,0.0000740673,0.000004129988,0.00001389814,0.00001753929,0.000003618139,0.9927308,0.0000424585,0.006811369,0.0002782409,0.000006423242],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01841285,0.0003969632,0.9776123,0.0006956543,0.00008453737,0.0000819963,0.0005219189,0.0005481036,0.001645873],"genre_scores_gemma":[0.7631342,0.0009580576,0.206312,0.0005729005,0.0004427677,0.001043815,0.002983049,0.0006852236,0.02386808],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009598571,"threshold_uncertainty_score":0.02942741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02251196141508317,"score_gpt":0.2842452774072167,"score_spread":0.2617333159921335,"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."}}