{"id":"W3092794716","doi":"10.3390/su12208462","title":"Environmental Analysis of Sustainable and Traditional Cooling and Lubrication Strategies during Machining Processes","year":2020,"lang":"en","type":"article","venue":"Sustainability","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Lubrication; Vegetable oil; Machining; Molybdenum disulfide; Environmentally friendly; Environmental impact assessment; Environmental science; Materials science; Pulp and paper industry; Metallurgy; Composite material; Engineering; Food science; 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":[0.0005820781,0.000305785,0.000274485,0.000656366,0.0004247007,0.0007872735,0.0003326173,0.0005217521,0.001047373],"category_scores_gemma":[0.0005136206,0.0001365447,0.0004464741,0.0004914398,0.0003088388,0.0006906425,0.0003765894,0.0003000889,0.000151644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001053138,"about_ca_system_score_gemma":0.0005311351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004050331,"about_ca_topic_score_gemma":0.00602974,"domain_scores_codex":[0.9993486,0.00008430587,0.00002536376,0.00007148631,0.0003712401,0.00009900349],"domain_scores_gemma":[0.9996283,0.0001088456,0.00005325348,0.00001576105,0.0001792269,0.00001454896],"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":[0.001296661,0.0004979442,0.0727214,0.002151037,0.0001750588,0.001125303,0.0006937222,0.06683728,0.7185242,0.004204846,0.001422318,0.1303501],"study_design_scores_gemma":[0.00002279357,0.002056994,0.1136192,0.0001214369,0.0001710638,0.0003142935,0.001549725,0.05933283,0.8070487,0.001534827,0.01415655,0.00007156911],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987639,0.001727348,0.003891123,0.00007867822,0.00001641567,0.00005944168,0.0004862249,0.0000367186,0.006065316],"genre_scores_gemma":[0.996287,0.0009067908,0.001423815,0.00002193495,0.000003599281,0.00003340403,0.0002574048,0.00001202996,0.001054076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004050331,"threshold_uncertainty_score":0.008053541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006642739501711901,"score_gpt":0.2063200789425864,"score_spread":0.1996773394408745,"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."}}