{"id":"W7134423510","doi":"","title":"Virtual milling","year":2004,"lang":"en","type":"other","venue":"cIRcle (University of British Columbia)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Machining; Process (computing); Milling cutter; Software; Torque; Process simulation; Simulation software; Interface (matter)","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":[0.0008628318,0.0009919051,0.0008932537,0.000831083,0.0007671813,0.002973565,0.002268728,0.001071729,0.04083173],"category_scores_gemma":[0.002399695,0.0005987792,0.001040158,0.0005741371,0.0009561941,0.002073234,0.003215335,0.001052275,0.006818454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000753206,"about_ca_system_score_gemma":0.001042623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009456807,"about_ca_topic_score_gemma":0.0007178451,"domain_scores_codex":[0.9989969,0.0001404111,0.00005877186,0.0001714558,0.0005257083,0.0001067566],"domain_scores_gemma":[0.998871,0.0003273342,0.00005401985,0.0003892531,0.0002600915,0.00009819153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007406491,0.0001878315,0.001246444,0.0008677703,0.00006808356,0.0005636571,0.0009283408,0.1568113,0.05894805,0.172652,0.03091125,0.5760747],"study_design_scores_gemma":[0.0001514655,0.0003745818,0.0007602854,0.0001644504,0.00006368913,0.0009148892,0.0002146914,0.4528523,0.07424561,0.04836994,0.4217523,0.0001357757],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0111227,0.0003759525,0.9179367,0.0001505829,0.000318026,0.0002504823,0.0004212342,0.01029737,0.05912691],"genre_scores_gemma":[0.4045098,0.001076574,0.5229076,0.0003607332,0.0001093223,0.0006329748,0.002204894,0.002816319,0.06538185],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04083173,"threshold_uncertainty_score":0.1365958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008050974431615086,"score_gpt":0.1715769049420238,"score_spread":0.1635259305104087,"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."}}