{"id":"W4392365948","doi":"10.18280/rcma.340102","title":"Investigating Corrosion and Surface Hardness of Al6061 in Machining Fluids with Variable CNT Concentrations","year":2024,"lang":"fr","type":"article","venue":"Revue des composites et des matériaux avancés","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Machining; Corrosion; Materials science; Hardness; Metallurgy; Composite material","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0001646666,0.0002685102,0.0002861622,0.0002867007,0.0001831536,0.0003391991,0.0002121641,0.0004031424,0.0007507224],"category_scores_gemma":[0.0004443158,0.0001484776,0.0003147934,0.0002116279,0.0001676492,0.0003743985,0.000162291,0.000294859,0.0001948351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001753248,"about_ca_system_score_gemma":0.00009672004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001333366,"about_ca_topic_score_gemma":0.002077935,"domain_scores_codex":[0.9996563,0.00002681907,0.00001995019,0.00006242708,0.000204854,0.00002970359],"domain_scores_gemma":[0.9997658,0.00004081818,0.0000581573,0.00001049305,0.0001122954,0.00001250898],"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":[0.0000699911,0.00001964542,0.001052996,0.00007955628,0.000005841741,0.00005733137,0.00005864417,0.0002010617,0.9949831,0.00002893713,0.00002433251,0.00341861],"study_design_scores_gemma":[0.000003783028,0.0005749011,0.008857555,0.000007997132,0.00002096199,0.00009043795,0.0001537288,0.002217277,0.9869357,0.0000345014,0.001092663,0.00001053394],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969869,0.0007034417,0.001483888,0.00003367011,0.00001696752,0.00001321243,0.0001058187,0.00002264715,0.0006333198],"genre_scores_gemma":[0.9954147,0.0005726369,0.002293881,0.00002004783,0.000007289685,0.00001885645,0.0001302544,0.00001267622,0.001529679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001333366,"threshold_uncertainty_score":0.002651215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03037655921899628,"score_gpt":0.2681928849183296,"score_spread":0.2378163256993333,"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."}}