{"id":"W2259970893","doi":"10.1007/s11665-016-1900-3","title":"Development of Novel Pre-alloyed PM Steels for Optimization of Machinability and Fatigue Resistance of PM Components","year":2016,"lang":"en","type":"article","venue":"Journal of Materials Engineering and Performance","topic":"Powder Metallurgy Techniques and Materials","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Machinability; Materials science; Machining; Metallurgy; Sintering; Compaction; Porosity; Toughness; Residual stress; Fabrication; Tin; Composite material","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":[0.0005273597,0.0001135511,0.000403564,0.00008702237,0.00001439861,0.000007463246,0.00008056608,0.00005527696,0.000007170065],"category_scores_gemma":[0.00003509338,0.00008378182,0.00002538775,0.00003161612,0.00002526775,0.0001582736,0.00002212612,0.00002399898,1.564823e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002001387,"about_ca_system_score_gemma":0.00001503547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001244635,"about_ca_topic_score_gemma":2.459705e-7,"domain_scores_codex":[0.9989814,0.000008540564,0.0007344352,0.00006349789,0.0001066323,0.0001055617],"domain_scores_gemma":[0.9994515,0.00004178792,0.0002869796,0.00008667352,0.000097148,0.0000359671],"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":[0.0001609652,0.00002244894,0.00007566391,0.00228964,0.00004582641,1.065361e-7,0.0001808469,0.03860885,0.9582241,0.00003893629,0.000006718825,0.0003459287],"study_design_scores_gemma":[0.0007313971,0.00009108596,0.009230453,0.0009445227,0.00002093487,0.000007311437,0.000003971471,0.006247414,0.9823172,0.000006163853,0.0002965583,0.0001029713],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8497854,0.0001313244,0.149719,0.000005972254,0.0001838855,0.0001143155,0.00004196648,0.00001380821,0.000004406104],"genre_scores_gemma":[0.8872756,0.0003702593,0.1122995,5.569946e-7,0.00002343688,0.000006086628,0.00000180789,0.00001423682,0.000008429536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03749028,"threshold_uncertainty_score":0.3416523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02062812474014716,"score_gpt":0.2282460565987225,"score_spread":0.2076179318585753,"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."}}