{"id":"W3007669953","doi":"10.3390/met10020285","title":"Effects of Microstructure, Mechanical and Physical Properties on Machinability of Graphite Cast Irons","year":2020,"lang":"en","type":"article","venue":"Metals","topic":"Metal Alloys Wear and Properties","field":"Materials Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"China Scholarship Council; National Natural Science Foundation of China","keywords":"Machinability; Materials science; Surface roughness; Machining; Microstructure; Metallurgy; Drilling; Pearlite; Tool wear; Surface finish; Thermal conductivity; Composite material","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":[0.0003716692,0.0002270382,0.0002196962,0.0004384205,0.0002527886,0.0003529894,0.0001712845,0.0002904296,0.0006543642],"category_scores_gemma":[0.001011027,0.000269323,0.0002378388,0.0002553648,0.0002670922,0.0002098213,0.0001291739,0.000245663,0.0001358857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002471539,"about_ca_system_score_gemma":0.0001249852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001064487,"about_ca_topic_score_gemma":0.003268302,"domain_scores_codex":[0.9996775,0.00003562447,0.00002206475,0.0000474683,0.0001600267,0.00005732315],"domain_scores_gemma":[0.9993314,0.0001727216,0.0001791765,0.0000546165,0.0001970381,0.00006510416],"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":[0.000274741,0.00003542357,0.003947981,0.00009623075,0.00001709214,0.000177896,0.00009614223,0.0006121853,0.9903562,0.00004026769,0.00004004798,0.004305799],"study_design_scores_gemma":[0.00001892647,0.001230679,0.1323412,0.0000124287,0.00004922411,0.0003063601,0.0001812197,0.002375921,0.8625666,0.00003964793,0.0008575381,0.00002023589],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988456,0.0003160956,0.0003190771,0.00001049919,0.000005744138,0.000008852212,0.00004573475,0.00001215835,0.0004362561],"genre_scores_gemma":[0.999315,0.00009096747,0.0002849603,0.000005430857,0.000002080728,0.000003219727,0.00003454759,0.000007158879,0.0002566669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001064487,"threshold_uncertainty_score":0.0021891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02119021489419438,"score_gpt":0.2264734027297207,"score_spread":0.2052831878355263,"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."}}