{"id":"W2043916816","doi":"10.1016/j.cirpj.2013.04.001","title":"On the micro and nanoparticle emission during machining of titanium and aluminum alloys","year":2013,"lang":"en","type":"article","venue":"CIRP journal of manufacturing science and technology","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Materials science; Titanium alloy; Aluminium; Titanium; Machining; Metallurgy; Alloy; Thermal; Particle (ecology); Geology","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":[0.000206454,0.00006757385,0.0001029272,0.0001742494,0.000155467,0.00003777125,0.0001255063,0.00003915045,0.000004793148],"category_scores_gemma":[0.0001012213,0.00004532683,0.000006992059,0.0001177338,0.0002760025,0.0002445935,0.00006080006,0.0001615471,3.062341e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000128139,"about_ca_system_score_gemma":0.00001075114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001372468,"about_ca_topic_score_gemma":2.684757e-7,"domain_scores_codex":[0.9995148,0.000004089814,0.0001513769,0.00008796681,0.0001062933,0.0001354602],"domain_scores_gemma":[0.9996971,0.00004264923,0.00008323279,0.00007584446,0.00005894802,0.00004225076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000008842919,0.00001035273,0.001694943,0.00008362123,0.00001225862,0.000003847999,0.0003343679,0.003754498,0.9643288,0.0006332758,0.00003115085,0.02910405],"study_design_scores_gemma":[0.0001915979,0.00008114064,0.005440112,0.00009265042,0.000006528288,0.0001514763,0.0003309541,0.003200362,0.9871346,0.003264256,0.00004116032,0.00006516945],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984148,0.0004516811,0.0004275369,0.000498169,0.00006092047,0.0000437064,2.086425e-7,0.00002252446,0.00008049414],"genre_scores_gemma":[0.9982901,0.0002756894,0.00139271,0.00001631289,0.00001025909,0.000001026589,2.529784e-8,0.000005856008,0.000008059907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02903888,"threshold_uncertainty_score":0.1848375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004010297812765337,"score_gpt":0.194607701159061,"score_spread":0.1905974033462956,"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."}}