{"id":"W1948778023","doi":"","title":"Modélisation des émissions de particules microniques et nanométriques en usinage","year":2009,"lang":"fr","type":"article","venue":"Espace École de technologie supérieure (École de technologie supérieure)","topic":"Advancements in Materials Engineering","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Humanities; Physics; Art","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.002001309,0.001840583,0.001485431,0.001316878,0.0006123444,0.0005617893,0.002657033,0.003915294,0.0001973459],"category_scores_gemma":[0.005498872,0.002116616,0.0004468809,0.00224409,0.001189926,0.001391598,0.0009274365,0.003205341,0.0001280065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003563866,"about_ca_system_score_gemma":0.0006391676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002369963,"about_ca_topic_score_gemma":0.0003246514,"domain_scores_codex":[0.9919823,0.000410161,0.001429201,0.001607758,0.0006270983,0.00394348],"domain_scores_gemma":[0.9955757,0.000659601,0.0004436266,0.002502823,0.0003079271,0.0005103353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001142907,0.0005945378,0.004012735,0.0006571222,0.0002418764,0.0009580862,0.002419839,0.5293282,0.4141097,0.02071561,0.0056931,0.02115486],"study_design_scores_gemma":[0.001673183,0.001352454,0.007842675,0.001934253,0.000391266,0.0007490576,0.00782896,0.1417263,0.7230384,0.05984439,0.05034475,0.003274303],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4919525,0.01329341,0.4630337,0.01200188,0.0007244478,0.001743677,0.0002233845,0.01630864,0.0007183762],"genre_scores_gemma":[0.777409,0.007031069,0.2119901,0.0005806184,0.0002443313,0.0005144395,0.00006689565,0.0003408069,0.001822739],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3876019,"threshold_uncertainty_score":0.9994339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01459372364553376,"score_gpt":0.2841940298715449,"score_spread":0.2696003062260112,"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."}}