{"id":"W3132753049","doi":"10.1115/imece2020-24485","title":"Toxicity of Nanoparticles Used in Minimum Quantity Lubrication (MQL) Machining: A Sustainability Analysis","year":2020,"lang":"en","type":"article","venue":"Volume 2A: Advanced Manufacturing","topic":"Orthopaedic implants and arthroplasty","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Toxicity; Nanoparticle; Lubrication; Abrasion (mechanical); Materials science; Machining; Nanocomposite; Nanotechnology; Chemistry; Metallurgy; Composite material; Organic chemistry","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":[0.0002299435,0.0001931808,0.0006133717,0.0002706036,0.00007167346,0.00001509093,0.0001001601,0.00006138987,0.0001446999],"category_scores_gemma":[0.0003649691,0.0001803365,0.0001915902,0.0006872303,0.0001011222,0.0002219143,0.00008861506,0.0002255339,0.000007662208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001238407,"about_ca_system_score_gemma":0.00008076909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001286521,"about_ca_topic_score_gemma":0.0003230672,"domain_scores_codex":[0.9982252,0.00007428975,0.0005670283,0.0004608308,0.0003017859,0.0003709226],"domain_scores_gemma":[0.9990216,0.00008735536,0.000279894,0.0003331856,0.00007112968,0.0002068075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005266368,0.0002874112,0.9421654,0.0003948995,0.0001634815,0.00006634062,0.001431368,0.003859699,0.02928275,0.00004981139,0.00002641035,0.02174583],"study_design_scores_gemma":[0.001717903,0.0002421238,0.7820787,0.00003730194,0.0002460701,0.000005386078,0.0007647627,0.009342543,0.2043753,0.0001263367,0.0008515599,0.0002119871],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995748,0.00007595833,0.002195245,0.001314589,0.00005215263,0.0004152834,0.00002078809,0.00008515501,0.00009282997],"genre_scores_gemma":[0.9982997,0.00001658552,0.001293752,0.0001790561,0.00004500249,0.00001392701,0.00002410982,0.00001716846,0.0001107638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1750926,"threshold_uncertainty_score":0.7353909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01772331765996442,"score_gpt":0.2742739407823856,"score_spread":0.2565506231224212,"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."}}