{"id":"W6999634156","doi":"","title":"Cumulative processes relates to event histories","year":2003,"lang":"en","type":"article","venue":"Hispana","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Censoring (clinical trials); Context (archaeology); Robustness (evolution); Event (particle physics); Marginal cost; Payment; Quality-adjusted life year; Estimation; Duration (music); Cost estimate; Term (time)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004860808,0.0001670851,0.0006042012,0.0002473431,0.0002007702,0.00004398646,0.0001723275,0.00009845815,0.0008732157],"category_scores_gemma":[0.01014833,0.0002145541,0.00006774114,0.0003325733,0.00004040763,0.0003382863,0.0000233825,0.0001109993,0.004632591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000827348,"about_ca_system_score_gemma":0.0002142881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003482637,"about_ca_topic_score_gemma":0.0002563135,"domain_scores_codex":[0.9968978,0.000147756,0.00204095,0.0004799274,0.00007717066,0.0003564145],"domain_scores_gemma":[0.9979262,0.0005301822,0.0008424107,0.0003850858,0.00009833437,0.0002177585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001132066,0.0001133609,0.05083435,0.0004022815,0.00006685329,0.000001708298,0.0145303,0.0008818532,0.000003103629,0.7987791,0.1343056,0.00007020811],"study_design_scores_gemma":[0.0003003442,0.00007193575,0.004565524,0.00005248082,0.000005014233,0.000003079226,0.001155938,0.0001412698,0.00003654261,0.03037494,0.9629547,0.0003382091],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6496195,0.02725012,0.03424313,0.1088669,0.005295962,0.003332693,0.0004439174,0.0004832082,0.1704646],"genre_scores_gemma":[0.9741642,0.00006883135,0.005811686,0.008434767,0.0001645468,0.0001594068,0.00001327807,0.00004239761,0.01114092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8286492,"threshold_uncertainty_score":0.9981896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.32347986412803,"score_gpt":0.4264994224107472,"score_spread":0.1030195582827172,"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."}}