{"id":"W2200063866","doi":"10.1007/978-0-8176-4626-4_9","title":"Exact Inference and Optimal Censoring Scheme for a Simple Step-Stress Model Under Progressive Type-II Censorig","year":2008,"lang":"en","type":"book-chapter","venue":"Birkhäuser Boston eBooks","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Censoring (clinical trials); Mathematics; Accelerated life testing; Exponential distribution; Estimator; Applied mathematics; Monte Carlo method; Parametric statistics; Delta method; Inference; Exponential function; Statistics; Computer science; Weibull distribution","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008296262,0.000506296,0.000542175,0.0001141722,0.0004795696,0.00006974567,0.0002184403,0.0004089905,0.0001892967],"category_scores_gemma":[0.000306754,0.0004950144,0.0001329779,0.00002547749,0.0002910407,0.0000644272,0.0001702281,0.0003517551,0.00003325098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001134935,"about_ca_system_score_gemma":0.0002092155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004650123,"about_ca_topic_score_gemma":0.000004831517,"domain_scores_codex":[0.9980358,0.00001391623,0.0005801101,0.0006088026,0.0003469579,0.0004143901],"domain_scores_gemma":[0.9977385,0.0005932012,0.000395774,0.0005178207,0.0005055549,0.0002491461],"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":[0.00005158234,0.00005307906,0.000003415331,0.0002041786,0.0000813159,0.000006482253,0.0001835507,0.00004396067,0.0000646042,0.9926794,0.004681794,0.001946616],"study_design_scores_gemma":[0.00330919,0.0005028585,0.0001301183,0.001163201,0.0006714173,0.00009733176,0.0001432579,0.139851,0.001578195,0.6716933,0.1779764,0.002883672],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.00394923,0.000291625,0.815923,0.0002254003,0.000145064,0.003703489,0.006555656,0.0006617665,0.1685448],"genre_scores_gemma":[0.1191086,0.0001486892,0.3633852,0.0004685738,0.000424005,0.001063601,0.001801917,0.0005275121,0.513072],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4525378,"threshold_uncertainty_score":0.9997501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.141480323028733,"score_gpt":0.3760797197960498,"score_spread":0.2345993967673168,"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."}}