{"id":"W4411919012","doi":"10.1016/j.wear.2025.206222","title":"Initial wear of cutting coated tools while machining TiMMC","year":2025,"lang":"en","type":"article","venue":"Wear","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Machining; Metallurgy; Tool wear; Mechanical engineering; Manufacturing engineering; Engineering drawing; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00007193395,0.00008817928,0.0001329267,0.00007510556,0.00005003376,0.00002310484,0.00008714112,0.00005260018,0.00006191542],"category_scores_gemma":[0.00007516991,0.00009544281,0.00002734269,0.0002283418,0.00001603078,0.0001451207,0.00003163033,0.0001307051,0.00001168085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001660106,"about_ca_system_score_gemma":0.00001781906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006450969,"about_ca_topic_score_gemma":0.000001458374,"domain_scores_codex":[0.9994892,0.00000992073,0.0001898697,0.0001016556,0.0000700689,0.0001393032],"domain_scores_gemma":[0.9997494,0.00005829812,0.00003342067,0.0001067208,0.00003106886,0.00002113321],"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":[0.00002604824,0.0000215327,0.0006809665,0.0003527446,0.00005693039,0.000004096394,0.0008426511,0.9531378,0.01672558,0.002947803,0.0004394906,0.02476436],"study_design_scores_gemma":[0.0009851055,0.00006123678,0.0005813448,0.0005122882,0.00005078583,0.00000379768,0.0004207105,0.8549525,0.1276808,0.0006298025,0.01376278,0.000358831],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2231239,0.0009968679,0.6505588,0.0001091807,0.001105891,0.0003145535,0.00004728516,0.001184651,0.1225589],"genre_scores_gemma":[0.9902845,0.00004799037,0.009314189,0.00004507926,0.00003813713,0.000005039179,0.00002931285,0.00002118402,0.0002145948],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7671605,"threshold_uncertainty_score":0.3892045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01247554813101956,"score_gpt":0.2596695065071408,"score_spread":0.2471939583761213,"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."}}