{"id":"W4237279538","doi":"10.1007/978-3-662-53120-4_300442","title":"Micro-milling","year":2019,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Materials science","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":[0.0001718368,0.0009739301,0.0006175422,0.001407841,0.0009204579,0.002003859,0.0009696623,0.0007494868,0.1084488],"category_scores_gemma":[0.0002957027,0.0004938923,0.0003597965,0.001724849,0.0005646373,0.00141874,0.001317243,0.001545982,0.05177781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006269218,"about_ca_system_score_gemma":0.0006322812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001018023,"about_ca_topic_score_gemma":0.003811091,"domain_scores_codex":[0.9996141,0.00001062045,0.000009912707,0.00007612599,0.0002629737,0.00002639907],"domain_scores_gemma":[0.9998991,0.00001683379,0.000005334908,0.00002676206,0.00004405646,0.000007768376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000391871,0.00003570735,0.00008905457,0.0003946816,0.000007819866,0.00007858319,0.0001289127,0.0009422867,0.01517212,0.06558603,0.1459016,0.771624],"study_design_scores_gemma":[0.000003461375,0.00002371544,0.0003247828,0.0000789137,0.000005168375,0.0002348201,0.00003148906,0.0008785441,0.006905607,0.008884734,0.982618,0.00001071564],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001740972,0.01239544,0.05207947,0.0004276075,0.001417235,0.00009196466,0.0004531222,0.001368281,0.9300259],"genre_scores_gemma":[0.007281925,0.004556382,0.01219711,0.0001681365,0.0001306928,0.00003889238,0.0003978732,0.0002290216,0.9750001],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1084488,"threshold_uncertainty_score":0.3627976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007508222602945667,"score_gpt":0.1906923662490917,"score_spread":0.183184143646146,"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."}}