{"id":"W4304811923","doi":"10.3390/mi13101714","title":"Experimental Investigation on Part Quality and Dust Emission during Minimum Quantity Lubricated (MQL) Edge Finishing of Granite","year":2022,"lang":"en","type":"article","venue":"Micromachines","topic":"Occupational and environmental lung diseases","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Lubrication; Materials science; Grinding; Surface roughness; Polishing; Metallurgy; Machining; Surface finish; Enhanced Data Rates for GSM Evolution; Composite material; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000111009,0.0001044428,0.0001621646,0.0000546641,0.0002349383,0.000008172831,0.00004454405,0.00002298261,0.0001650287],"category_scores_gemma":[0.00003929269,0.00009445268,0.00005033878,0.00009118255,0.00007943161,0.00006125288,0.0001019369,0.0001009301,0.000003292278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006038226,"about_ca_system_score_gemma":0.00001482734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000172753,"about_ca_topic_score_gemma":0.000001659091,"domain_scores_codex":[0.9991702,0.00008358724,0.0002299273,0.0002028122,0.0002184903,0.00009496177],"domain_scores_gemma":[0.9996418,0.00004149187,0.0001019008,0.0001176435,0.000008358646,0.00008879036],"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":[0.0003372292,0.0002317417,0.4350048,0.00006424081,0.00001203992,0.000004084929,0.0002038567,0.000007510504,0.5637935,0.00001893665,0.0002409857,0.00008100716],"study_design_scores_gemma":[0.0007623137,0.0001836799,0.8002359,0.0000430189,0.00002275064,0.00001353462,0.0002138124,0.00006679334,0.1980972,0.0000323737,0.0002444517,0.00008413744],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986196,0.0005512938,7.600063e-7,0.0003148958,0.00007896892,0.0001521495,0.0001064703,0.00002941571,0.0001464404],"genre_scores_gemma":[0.999101,0.000009325699,0.00005322412,0.0002291708,0.00004779222,0.00001716708,0.000290338,0.00001151928,0.0002404571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3656963,"threshold_uncertainty_score":0.3851669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04687703539039741,"score_gpt":0.2999314741750822,"score_spread":0.2530544387846848,"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."}}