{"id":"W3196284052","doi":"10.52571/ptq.v16.n33.2019.942_periodico33_pgs_927_935.pdf","title":"INFLUENCE OF THE USE OF CARAPA GUIANENSIS OIL (ANDIROBA OIL) COMPARED WITH COMMERCIAL CUTTING FLUID IN THE TURNING PROCESS OF THE ABNT 1045 STEEL GRADES","year":2019,"lang":"en","type":"article","venue":"PERIÓDICO TCHÊ QUÍMICA","topic":"Agricultural and Food Sciences","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Cutting fluid; Machining; Tool wear; Process (computing); Chip; Metallurgy; Materials science; Mechanical engineering; Engineering; Computer science","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":[0.0001981606,0.0002612493,0.0002261811,0.0003129462,0.0001855416,0.0004884155,0.0001638819,0.0002429536,0.001056833],"category_scores_gemma":[0.0005688109,0.000111472,0.0002307776,0.0002305793,0.000197005,0.0002795348,0.0001969622,0.000266265,0.0001541286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002508948,"about_ca_system_score_gemma":0.0002717232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003693862,"about_ca_topic_score_gemma":0.00646855,"domain_scores_codex":[0.9996431,0.00005603175,0.0000369073,0.00005729845,0.000129862,0.00007673604],"domain_scores_gemma":[0.9996498,0.00009696358,0.0001089518,0.00001677682,0.00008882016,0.00003878771],"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":[0.00155537,0.0001533477,0.002034826,0.0001952666,0.00002629097,0.0001331209,0.00008552553,0.0003486965,0.9886332,0.00005518132,0.00003546184,0.006743859],"study_design_scores_gemma":[0.00001170711,0.002416626,0.01271668,0.00001962836,0.00006980779,0.00007278576,0.0001606111,0.0006843653,0.9825307,0.00002188418,0.00128187,0.00001333075],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984972,0.0005600359,0.0001891976,0.00001428452,0.00001144723,0.000008285164,0.0000437905,0.000006278914,0.0006695685],"genre_scores_gemma":[0.9986435,0.0003386117,0.0003297288,0.000009657731,0.000002523404,0.000004778498,0.00004948709,0.000005379583,0.0006163765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003693862,"threshold_uncertainty_score":0.007344723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02883368058929124,"score_gpt":0.2170362776067705,"score_spread":0.1882025970174792,"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."}}