{"id":"W2975702197","doi":"","title":"APPLICATION OF SUPERABSORBENT COOLANT AS A NOVEL APPROACH TO SEMI-DRY MACHINING","year":2018,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Engineering Technology and Methodologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; McMaster University","keywords":"Coolant; Machining; Superabsorbent polymer; Engineering; Manufacturing engineering; Environmental science; Materials science; Mechanical engineering; Composite material","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001581173,0.0003062139,0.0001723113,0.0002746929,0.0001087152,0.0001986939,0.0002204033,0.0002432097,0.0005522662],"category_scores_gemma":[0.0001326724,0.0001353315,0.000241514,0.0001200244,0.0002364528,0.0002984148,0.0002343113,0.0004069758,0.0001413116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001157796,"about_ca_system_score_gemma":0.0001336997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001779788,"about_ca_topic_score_gemma":0.0004228239,"domain_scores_codex":[0.9998909,0.00001576875,0.000006003001,0.00002514184,0.00004467691,0.00001746411],"domain_scores_gemma":[0.9999075,0.00001954428,0.00003470607,0.00001021647,0.00001375583,0.00001435831],"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":[0.00002433961,0.000007314269,0.00003285113,0.00005896833,0.000002134774,0.00003021624,0.00001325416,0.00005973204,0.998089,0.00007730247,0.0000194687,0.001585278],"study_design_scores_gemma":[0.000004794135,0.0002375969,0.000628908,0.000004510748,0.000006289602,0.0001796265,0.00001285885,0.0009090831,0.9960029,0.00002714188,0.001979417,0.000006937399],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.942902,0.003612694,0.05109031,0.0001041649,0.000074421,0.00009611826,0.00009730276,0.0002497842,0.001773112],"genre_scores_gemma":[0.9668559,0.001247811,0.02961832,0.00005567594,0.00002541093,0.00005549316,0.00007375245,0.00003751101,0.002030126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005522662,"threshold_uncertainty_score":0.001847506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01781254594921707,"score_gpt":0.2219692744826749,"score_spread":0.2041567285334578,"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."}}