{"id":"W2651367060","doi":"10.23977/jemm.2016.11002","title":"A Risk Evaluation Algorithm of the Parameter Measurement based on Reliability Design for Ships","year":2016,"lang":"en","type":"article","venue":"Journal of Engineering Mechanics and Machinery","topic":"Advanced Measurement and Detection Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reliability (semiconductor); Reliability engineering; Computer science; Risk assessment; Algorithm; Engineering; Power (physics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004608421,0.0001139811,0.0001758378,0.00009322248,0.00003054062,0.000007339007,0.00007791154,0.00005046092,0.000003636393],"category_scores_gemma":[0.001880206,0.00006348104,0.000119983,0.00008036443,0.000004149545,0.00006592619,0.000006901527,0.00013662,7.917934e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001215342,"about_ca_system_score_gemma":0.00002934729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.652143e-7,"about_ca_topic_score_gemma":2.618833e-7,"domain_scores_codex":[0.9989612,0.00009446064,0.0003207779,0.00007888671,0.0004354709,0.0001092756],"domain_scores_gemma":[0.9989774,0.0003871866,0.0001467048,0.0001503187,0.0002890921,0.00004924896],"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":[0.00005754194,0.00001933587,0.00001605404,0.00004607203,0.00004088579,1.295683e-7,0.00001234937,0.8348408,0.05781593,0.0000777919,0.00003938122,0.1070337],"study_design_scores_gemma":[0.0008640416,0.0002081516,0.000204522,0.0001410164,0.00009009125,0.000002436632,0.000002375609,0.9435484,0.05035903,0.004195433,0.0003005187,0.00008393094],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006335916,0.0002389802,0.9922653,0.00003936251,0.0008380448,0.0002526807,0.00000692591,0.00001798959,0.000004832547],"genre_scores_gemma":[0.759776,0.00005961235,0.2400371,0.000008964525,0.00008028831,0.00001599845,8.7324e-8,0.00002011481,0.00000183478],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7534401,"threshold_uncertainty_score":0.2588682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04546818048266546,"score_gpt":0.2586910704840673,"score_spread":0.2132228900014018,"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."}}