{"id":"W4392905041","doi":"10.1109/rams51492.2024.10457802","title":"A Cumulative Shock Model with Random Failure Threshold and a Change Point","year":2024,"lang":"en","type":"article","venue":"","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Point (geometry); Computer science; Shock (circulatory); Mathematics; Medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.00005924605,0.00008779815,0.00009234875,0.00003854558,0.00001780153,0.00005098417,0.0000233214,0.00004042882,0.00002793733],"category_scores_gemma":[0.000006630399,0.00005854948,0.00001802489,0.00009413469,0.00002099012,0.0002744412,0.00001106511,0.0000800997,0.000005649491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002215447,"about_ca_system_score_gemma":0.000006060425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000112161,"about_ca_topic_score_gemma":0.00007394749,"domain_scores_codex":[0.999635,0.000002968243,0.00006960576,0.0001248974,0.00005877383,0.0001087264],"domain_scores_gemma":[0.9998351,0.00001741594,0.000003259522,0.00008020375,0.00002960611,0.00003437762],"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":[0.00003406811,0.000005084787,0.0000221233,0.0001454002,0.00003208413,0.000004004582,0.002118226,0.9871293,0.00007448684,0.007397717,0.002265655,0.0007718711],"study_design_scores_gemma":[0.0003669797,0.00002149346,0.00001603415,0.0000788917,0.0000123394,0.000003513325,0.00009163823,0.9966277,0.0001110085,0.002076145,0.0005010993,0.00009309843],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03981213,0.0008985735,0.9416224,0.001230489,0.0001056671,0.0006140895,0.000009181971,0.0008101053,0.01489738],"genre_scores_gemma":[0.990058,0.0001619971,0.009020264,0.00006920823,0.000041207,0.00006436079,0.000004869631,0.00002079775,0.0005592845],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9502459,"threshold_uncertainty_score":0.2387578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01393596416452175,"score_gpt":0.2105360385384684,"score_spread":0.1966000743739466,"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."}}