{"id":"W2361045442","doi":"","title":"Development of Nuclear Power Failure Database","year":2012,"lang":"en","type":"article","venue":"Development & Innovation of Machinery & Electrical Products","topic":"Advanced Decision-Making Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Nuclear power; Nuclear power plant; Reliability (semiconductor); Database; China; Reliability engineering; Engineering; Power (physics); Computer science; Nuclear physics; Physics; Political science","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":[0.001572371,0.0002641472,0.000355612,0.0008435379,0.0001452347,0.00002688607,0.0009732136,0.00009476059,0.00002873022],"category_scores_gemma":[0.001182341,0.0002385295,0.00002875347,0.004518229,0.00004863766,0.001034536,0.000586202,0.0002961566,0.00003230739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001679525,"about_ca_system_score_gemma":0.0004643612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001054559,"about_ca_topic_score_gemma":3.558972e-7,"domain_scores_codex":[0.9967593,0.00006276463,0.001263414,0.0005107387,0.0009208212,0.0004829894],"domain_scores_gemma":[0.9975357,0.00009987866,0.0006437167,0.0007815833,0.0008673097,0.00007181382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005360506,0.001147431,0.0008972228,0.00007969872,0.00007242817,0.000003306588,0.00215862,0.000006249352,0.2906549,0.3742175,0.01121357,0.3194954],"study_design_scores_gemma":[0.0003868934,0.0001115269,0.01405547,0.0001152877,0.00000614829,0.00002602024,0.00001478375,0.0002716384,0.5820494,0.002716242,0.3995859,0.0006606411],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2560606,0.0001798955,0.7408683,0.0008317939,0.0002846441,0.0004714418,0.000002196697,0.0003824553,0.0009186093],"genre_scores_gemma":[0.4826397,0.000001860553,0.5170899,0.0001701538,0.00002394019,0.00000943739,0.00001961101,0.00001483464,0.00003054373],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3883723,"threshold_uncertainty_score":0.9726951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02430744879015446,"score_gpt":0.2818993062413982,"score_spread":0.2575918574512437,"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."}}