{"id":"W2006011947","doi":"10.1109/cimsa.2011.6059913","title":"Classification of gear damage levels in planetary gearboxes","year":2011,"lang":"en","type":"article","venue":"","topic":"Gear and Bearing Dynamics Analysis","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Linear discriminant analysis; Discriminant; Artificial intelligence; Feature extraction; Feature selection; Computer science; Pattern recognition (psychology); Support vector machine; Selection (genetic algorithm); Baseline (sea); Machine learning; Geology","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":[0.00006309804,0.00004358665,0.00007831865,0.00009854735,0.000004716743,0.000002936708,0.00006593498,0.00003318302,0.0002811935],"category_scores_gemma":[0.000002972414,0.00004083597,0.00002139279,0.000109625,0.00001026126,0.00003585011,0.000008047124,0.00005105303,0.00003147558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007842979,"about_ca_system_score_gemma":0.000002816589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000438505,"about_ca_topic_score_gemma":0.0004307722,"domain_scores_codex":[0.9996991,0.00000542585,0.0001164889,0.0000567368,0.00004874041,0.0000735617],"domain_scores_gemma":[0.9998386,0.000007285279,0.00001006872,0.0001197402,0.000008241183,0.00001607321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001050427,0.0001351911,0.8730671,0.0001687959,0.0001878264,0.00001528197,0.001889866,0.02308421,0.0810625,0.01077342,0.0002907737,0.00931457],"study_design_scores_gemma":[0.00004789042,0.000005190402,0.8166304,0.000003838301,0.000006358132,2.495499e-7,0.00003721197,0.1817974,0.001214451,0.0001867964,0.00002577504,0.00004442208],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9604911,0.00001819046,0.001684456,0.000004440089,0.00002656117,0.00002648758,0.000003753817,0.00004345501,0.03770152],"genre_scores_gemma":[0.9980633,0.000009114156,0.001748496,0.000002908843,0.000004985349,0.000001061266,0.000007309651,0.000006610708,0.000156166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1587132,"threshold_uncertainty_score":0.3078872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.036245431665935,"score_gpt":0.2043423037096917,"score_spread":0.1680968720437567,"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."}}