{"id":"W2082495855","doi":"10.1016/s0007-8506(07)60642-8","title":"A New Approach to Cutting Temperature Prediction Considering the Thermal Constriction Phenomenon in Multi-layer Coated Tools","year":2004,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; National Research Council Canada","funders":"","keywords":"Materials science; Asperity (geotechnical engineering); Constriction; Coating; Thermal; Layer (electronics); Thermal contact conductance; Thermal resistance; Thermal contact; Redistribution (election); Composite material; Mechanical engineering; Mechanics; Thermodynamics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001404677,0.0001404888,0.0001301675,0.0000898607,0.0001102505,0.00009970777,0.00008626263,0.00008679489,0.000009927368],"category_scores_gemma":[0.00008100905,0.0001191849,0.00002577571,0.0003949194,0.00001249716,0.00029486,0.00001958273,0.0002348091,0.000009894314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006034244,"about_ca_system_score_gemma":0.0000377168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002029398,"about_ca_topic_score_gemma":0.000005510229,"domain_scores_codex":[0.9992509,0.00001620057,0.0002176361,0.0001875573,0.00009846745,0.0002292725],"domain_scores_gemma":[0.999685,0.00003021148,0.00003626492,0.0001333002,0.00004767263,0.00006755305],"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":[0.000009092945,0.00001815642,0.0001968186,0.00002432095,0.00001305605,0.000001199573,0.001578902,0.9801733,0.009938949,0.0001579214,0.0001026209,0.007785641],"study_design_scores_gemma":[0.005998762,0.0001768455,0.02187377,0.0007570395,0.00007305406,0.00009358084,0.003573907,0.8991991,0.05928775,0.0005811126,0.006975322,0.001409741],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2195621,0.0009199374,0.7697639,0.0003830068,0.0003906334,0.0007604582,0.00001777542,0.0005938961,0.007608237],"genre_scores_gemma":[0.9835405,0.00007548844,0.01590031,0.0002185871,0.0001051336,0.00003706796,0.00002682564,0.000030742,0.00006531327],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7639784,"threshold_uncertainty_score":0.4860221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0594571338192174,"score_gpt":0.2764905302515293,"score_spread":0.2170333964323119,"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."}}