{"id":"W4251310814","doi":"10.1007/978-3-642-20617-7_100287","title":"Mechanical Machining","year":2014,"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":"Machining; Materials science; Mechanical engineering; 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":[0.0002138315,0.001176377,0.0006613567,0.001402281,0.001042607,0.001433775,0.00101985,0.0008592849,0.07714812],"category_scores_gemma":[0.0003192526,0.0005362314,0.0003807436,0.001208151,0.0008411923,0.001469032,0.001394568,0.001694271,0.04245597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006823972,"about_ca_system_score_gemma":0.0006929972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009564223,"about_ca_topic_score_gemma":0.003677071,"domain_scores_codex":[0.9996181,0.0000156103,0.000008918244,0.00007517012,0.0002574539,0.00002467037],"domain_scores_gemma":[0.9999125,0.0000137719,0.000004281313,0.0000240793,0.00003921229,0.00000610498],"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":[0.00002685774,0.00004113839,0.0000972895,0.0004987152,0.00001055729,0.00006928581,0.0001788445,0.002136816,0.013463,0.09906702,0.1620117,0.7223988],"study_design_scores_gemma":[0.000002350508,0.00001951035,0.0002773519,0.0001024739,0.000004346346,0.0001672738,0.00002967946,0.001067665,0.004067713,0.01467665,0.9795752,0.000009845627],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001624381,0.01202299,0.06384644,0.0005560674,0.001425965,0.00006569133,0.0002807639,0.0008713439,0.9193065],"genre_scores_gemma":[0.008883296,0.005492483,0.01372688,0.0002219161,0.000191885,0.00004388396,0.0003619105,0.0002454734,0.9708323],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07714812,"threshold_uncertainty_score":0.2580862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008749046191773132,"score_gpt":0.2052125332014622,"score_spread":0.1964634870096891,"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."}}