{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007344219,0.00009941789,0.0001706219,0.00008280364,0.0001026707,0.0000375418,0.00004022572,0.00003453467,0.00001179794],"category_scores_gemma":[0.0001782631,0.0001076051,0.00002052292,0.000410434,0.00007927552,0.0004310311,0.00003098476,0.00008086735,4.147687e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009345132,"about_ca_system_score_gemma":0.00005153677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009328322,"about_ca_topic_score_gemma":0.000001677376,"domain_scores_codex":[0.9993857,0.00001265811,0.0001779872,0.000187421,0.00008855533,0.000147711],"domain_scores_gemma":[0.9996937,0.00005826394,0.00004627474,0.00006309964,0.00007732005,0.00006134243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004860111,0.0000216672,0.02607754,0.002926403,0.0001207248,0.000003608679,0.004049394,0.9616306,0.0002958962,0.003899328,9.888606e-7,0.0009252282],"study_design_scores_gemma":[0.0005235858,0.00009629811,0.4081771,0.00001417683,0.0004349065,0.000003847305,0.03346092,0.5486701,0.001264051,0.006890786,0.00009463604,0.0003695639],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9448627,0.0007736227,0.05392534,0.00008570529,0.000004682017,0.0001459428,0.00001551699,0.00008303697,0.0001034727],"genre_scores_gemma":[0.9988983,0.0001548442,0.0008615218,0.000007810846,0.00001372451,0.00001422102,0.00003351806,0.00001077423,0.000005344729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4129605,"threshold_uncertainty_score":0.4388008,"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."}}