{"id":"W2103602434","doi":"10.1109/apt.1993.673913","title":"Damages due to shaft-potentials in modern generators","year":2005,"lang":"en","type":"article","venue":"","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Damages; Forensic engineering; Computer science; Engineering; Law; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000197445,0.0001586107,0.0001683361,0.0004403382,0.0002381506,0.0001567109,0.0002487869,0.0005135297,0.0009313316],"category_scores_gemma":[0.002345135,0.0001336528,0.0001370122,0.0003729289,0.0004223728,0.0004719018,0.0002224749,0.0002816718,0.00009336861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002357415,"about_ca_system_score_gemma":0.00007188569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003887418,"about_ca_topic_score_gemma":0.000534804,"domain_scores_codex":[0.9998907,0.00002532806,0.000004886403,0.0000129427,0.00005318696,0.00001302546],"domain_scores_gemma":[0.9990723,0.0005504931,0.0001612155,0.00009728008,0.00008075269,0.00003783958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.002760096,0.0001861037,0.08558232,0.0005199488,0.0001804855,0.00930843,0.0008733994,0.3994531,0.1325989,0.02685719,0.003044155,0.3386358],"study_design_scores_gemma":[0.00008151527,0.000906558,0.2941299,0.00007001597,0.0001589733,0.01032505,0.0003570839,0.5868751,0.06054491,0.04365053,0.002845811,0.0000544882],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9478598,0.0006598603,0.04860213,0.00009763526,0.00003555416,0.00001066205,0.00006259367,0.0002026881,0.002469052],"genre_scores_gemma":[0.9988171,0.00006742754,0.0008964444,0.000002750281,0.000006557329,8.54282e-7,0.00001356031,0.000002973465,0.0001923299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009313316,"threshold_uncertainty_score":0.003115594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006289212457210156,"score_gpt":0.2583963065082682,"score_spread":0.252107094051058,"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."}}