{"id":"W1967495781","doi":"10.1115/1.3066548","title":"Computer-Aided Machine Setting for Lapping Optimization","year":2009,"lang":"en","type":"article","venue":"Journal of Mechanical Design","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Lapping; Spiral bevel gear; Abrasive; Pinion; Process (computing); Point (geometry); Mechanical engineering; Engineering drawing; Engineering; Computer science; Mathematics; Geometry; Rack","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":[0.000553449,0.000794174,0.0009106056,0.0005051509,0.0004953107,0.0006747497,0.001035833,0.0007121005,0.008025717],"category_scores_gemma":[0.001997492,0.0003897579,0.0004080412,0.0003978691,0.0003240838,0.0003474218,0.0005425942,0.0007714009,0.0008371518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005314297,"about_ca_system_score_gemma":0.001232197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005092381,"about_ca_topic_score_gemma":0.004274136,"domain_scores_codex":[0.9997129,0.00007042777,0.00001470585,0.00006080374,0.0001110588,0.00003007544],"domain_scores_gemma":[0.9991956,0.0004321669,0.00004686383,0.00008115402,0.000222655,0.0000216299],"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":[0.0001567111,0.00009234359,0.000890585,0.0001651033,0.00002473573,0.0000952789,0.0001285236,0.8486332,0.01133947,0.002962734,0.001728988,0.1337823],"study_design_scores_gemma":[0.00001658737,0.0000381799,0.0001772127,0.000004166122,0.000003919088,0.00001533351,0.000009650738,0.9957862,0.002392515,0.0003920558,0.00115792,0.000006109249],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04031289,0.00007076721,0.9506982,0.00004434898,0.00002472937,0.0001866268,0.000113302,0.003782117,0.004767064],"genre_scores_gemma":[0.4814868,0.00006851258,0.5143094,0.00003739693,0.000009654411,0.0005797165,0.0003220705,0.0002774163,0.002908912],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008025717,"threshold_uncertainty_score":0.02684867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01566255347084405,"score_gpt":0.2453609852464838,"score_spread":0.2296984317756397,"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."}}