{"id":"W2082259159","doi":"10.1115/1.2952819","title":"Tool Feasibility Analysis for Fixture Assembly Planning","year":2008,"lang":"en","type":"article","venue":"Journal of Manufacturing Science and Engineering","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fixture; Workspace; Fastener; Computer science; Plan (archaeology); Engineering drawing; Machine tool; Engineering; Mechanical engineering; Artificial intelligence; Robot","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006150943,0.0001430867,0.0002531724,0.0005244066,0.0001803382,0.00007935771,0.0002085109,0.00005301553,0.000004030453],"category_scores_gemma":[0.0001222732,0.0001239629,0.0000953532,0.0003253675,0.00004747812,0.0004514125,0.00002292512,0.0001739861,2.520959e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009535424,"about_ca_system_score_gemma":0.00004034364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001128544,"about_ca_topic_score_gemma":2.597393e-7,"domain_scores_codex":[0.9989262,0.00000293118,0.0003112551,0.0001454319,0.0003403201,0.0002738575],"domain_scores_gemma":[0.9994919,0.00006455558,0.00008181405,0.0001190554,0.0001297773,0.0001128434],"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":[0.000007050417,0.0000050959,0.00129356,0.00008778957,0.00006183513,0.000007416433,0.0002776696,0.9959094,0.001669137,0.000005383589,0.00003910509,0.0006365596],"study_design_scores_gemma":[0.0004579442,0.0000757851,0.1957168,0.00006838842,0.0001452573,0.0001422034,0.00005342522,0.6341609,0.1679203,0.000039546,0.0008837145,0.0003357587],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8129808,0.000214891,0.1863988,0.00001843951,0.0002177733,0.00006292049,0.000001588468,0.00005322069,0.00005158443],"genre_scores_gemma":[0.9885897,0.00006176062,0.01118856,0.00001370719,0.0001165545,0.000002534378,6.278559e-7,0.00001340445,0.0000131571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3617485,"threshold_uncertainty_score":0.5055059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01991863374340107,"score_gpt":0.2374370519966873,"score_spread":0.2175184182532862,"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."}}