{"id":"W1598185421","doi":"","title":"INFERENCE FOR A GAMMA STEP-STRESS MODEL UNDER CENSORING","year":2012,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McMaster University","keywords":"Censoring (clinical trials); Inference; Econometrics; Computer science; Artificial intelligence; Statistics; Machine learning; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.02308063,0.001823444,0.0035069,0.002208906,0.001078038,0.00345561,0.004505595,0.004015265,0.00733972],"category_scores_gemma":[0.07640832,0.001857771,0.002688286,0.002071147,0.004032962,0.003754993,0.00233263,0.006032601,0.001403571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002044432,"about_ca_system_score_gemma":0.001897764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009255185,"about_ca_topic_score_gemma":0.006549269,"domain_scores_codex":[0.9926195,0.003531055,0.0002917712,0.002290066,0.0006536048,0.0006139586],"domain_scores_gemma":[0.9067191,0.08245616,0.003239135,0.004424932,0.00235373,0.0008068779],"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":[0.001753926,0.0004922191,0.05648893,0.00098931,0.001405921,0.00186383,0.001028416,0.6044,0.003478803,0.2255917,0.01143552,0.09107144],"study_design_scores_gemma":[0.0001632245,0.0002364793,0.006312101,0.0001440377,0.0002070081,0.0002512119,0.0001725315,0.8973252,0.001363732,0.09116009,0.002563155,0.0001011377],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08581735,0.001267296,0.906671,0.001343132,0.0002724684,0.0003106428,0.001682279,0.0007607239,0.001875042],"genre_scores_gemma":[0.8336507,0.003135619,0.1344901,0.001667734,0.001030989,0.001037947,0.008141217,0.0003139627,0.01653181],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02308063,"threshold_uncertainty_score":0.1220635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07725340599650285,"score_gpt":0.3232832452640019,"score_spread":0.2460298392674991,"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."}}