{"id":"W2104326779","doi":"10.3233/ifs-120706","title":"Fuzzy cutting force modelling in micro-milling","year":2013,"lang":"en","type":"article","venue":"Journal of Intelligent & Fuzzy Systems","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Subtractive color; Computer science; Machining; Process (computing); Filter (signal processing); Fuzzy logic; Cluster analysis; Noise (video); Fuzzy clustering; Mechanical engineering; Artificial intelligence; Engineering; Computer vision","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004092687,0.0001942781,0.0003651061,0.0002981549,0.00005126816,0.000133386,0.0002176643,0.00009880136,0.00000856055],"category_scores_gemma":[0.00004257509,0.0001727593,0.0001014303,0.0002617376,0.00001189299,0.000532293,0.0000198535,0.0003895014,0.0000279493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001734634,"about_ca_system_score_gemma":0.00002362872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005582971,"about_ca_topic_score_gemma":0.000002293934,"domain_scores_codex":[0.9982114,0.00002803798,0.001079783,0.000123206,0.0002408163,0.0003167702],"domain_scores_gemma":[0.9990765,0.00009512216,0.0003257249,0.0001241734,0.0002710363,0.0001073988],"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":[0.00000673231,0.0000139511,0.00060359,0.0002182407,0.00003003058,0.000008427203,0.0006519934,0.9939156,0.001777352,0.000204492,0.00008649519,0.002483119],"study_design_scores_gemma":[0.0002082159,0.00006621253,0.00001523206,0.001002891,0.000015389,0.0001070202,0.001439047,0.9916769,0.003255833,0.001283412,0.0006990861,0.0002308007],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1521765,0.009009198,0.833465,0.00002808393,0.001393241,0.0002468165,0.000001177785,0.00006698413,0.003612973],"genre_scores_gemma":[0.980602,0.001520006,0.01729662,0.00001796064,0.000358081,0.000009140799,0.000001965401,0.00005351681,0.0001406884],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8284255,"threshold_uncertainty_score":0.704492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01459976081836456,"score_gpt":0.2263373130541962,"score_spread":0.2117375522358316,"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."}}