{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005454484,0.000251949,0.0002097117,0.0005503047,0.00017914,0.0003485603,0.0001507503,0.0004082966,0.0004616877],"category_scores_gemma":[0.0005500626,0.0001187134,0.0004033704,0.0002465608,0.0002017049,0.0001757803,0.0002388895,0.0002119456,0.0001034456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002928254,"about_ca_system_score_gemma":0.0001988031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001016744,"about_ca_topic_score_gemma":0.001171874,"domain_scores_codex":[0.999597,0.0001068301,0.00003510836,0.00004620311,0.0001890781,0.00002573099],"domain_scores_gemma":[0.9994715,0.0001851003,0.0001080436,0.00001964773,0.0001987019,0.00001695602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00038266,0.0001579878,0.01020089,0.0006466629,0.00005262676,0.0003048101,0.0002293501,0.002368083,0.9665562,0.0002213357,0.0002079459,0.01867141],"study_design_scores_gemma":[0.000009209492,0.00401569,0.01889114,0.00007576313,0.0001215976,0.0006931823,0.0002684589,0.004055076,0.9664901,0.0002239822,0.005132703,0.00002314083],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890103,0.004433994,0.004380786,0.00007032749,0.00002324781,0.00008093255,0.0002349357,0.00002229622,0.001743216],"genre_scores_gemma":[0.9922315,0.001943053,0.00340966,0.0000527878,0.00001060056,0.00007022245,0.0002760241,0.000008829241,0.001997198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001016744,"threshold_uncertainty_score":0.002884626,"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."}}