{"id":"W2989764592","doi":"10.1115/detc2019-97387","title":"Design Optimization of a Three-Stage Planetary Gear Reducer Using Genetic Algorithm","year":2019,"lang":"en","type":"article","venue":"","topic":"Gear and Bearing Dynamics Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Reducer; Excavator; Computer science; Genetic algorithm; Crusher; Truck; Set (abstract data type); Engineering; Automotive engineering; Mechanical engineering","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":[0.0003623969,0.0006189157,0.0008064455,0.0005098184,0.0003568623,0.0006781627,0.0006481162,0.0008790349,0.001794346],"category_scores_gemma":[0.0003677471,0.0003662076,0.000649003,0.0004363922,0.0003695304,0.0002272422,0.0003058014,0.0003554527,0.0002407948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004954321,"about_ca_system_score_gemma":0.000842656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004244631,"about_ca_topic_score_gemma":0.002814246,"domain_scores_codex":[0.9998261,0.00003900348,0.000006448774,0.00003770453,0.00005526088,0.00003544256],"domain_scores_gemma":[0.999876,0.00004881499,0.0000215231,0.000007107698,0.0000365877,0.000009873956],"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":[0.00003532905,0.00002999859,0.0003521141,0.0000653931,0.00002424407,0.00007487988,0.00002373048,0.9792956,0.006436203,0.001280459,0.0002314664,0.01215051],"study_design_scores_gemma":[0.0000134543,0.00006993893,0.0001996133,0.000003844192,0.00001114497,0.00001417255,0.000009249746,0.9981852,0.0008159592,0.000247374,0.0004259766,0.000003987086],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1526994,0.000535649,0.8323068,0.0001799549,0.00006756352,0.0001645337,0.0000709105,0.0004347209,0.01354049],"genre_scores_gemma":[0.8793396,0.0002316066,0.1161921,0.00004297628,0.00001139767,0.000258684,0.00006084133,0.00003330207,0.003829526],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004244631,"threshold_uncertainty_score":0.008439839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01551662197197549,"score_gpt":0.1969195167148579,"score_spread":0.1814028947428824,"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."}}