{"id":"W4244564388","doi":"10.1007/978-3-662-53120-4_300268","title":"Forging Roll","year":2019,"lang":"en","type":"book-chapter","venue":"","topic":"Metallurgy and Material Forming","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Forging; Materials science; Metallurgy","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":[0.0001194243,0.0008188058,0.0003649924,0.00118459,0.001203869,0.001833816,0.0005340781,0.000723031,0.1001904],"category_scores_gemma":[0.0002136405,0.0003153608,0.0003285598,0.0007286213,0.0005833794,0.001136823,0.000907545,0.001063046,0.04183174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005087352,"about_ca_system_score_gemma":0.0004548812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001291854,"about_ca_topic_score_gemma":0.004595172,"domain_scores_codex":[0.9998296,0.00000928007,0.000005158255,0.00003836638,0.0001002041,0.00001734425],"domain_scores_gemma":[0.999951,0.0000082811,0.000002907818,0.00001808315,0.00001548945,0.000004251016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000631773,0.00006367803,0.0001604485,0.0003485878,0.000007372716,0.0002725169,0.0004885641,0.001274565,0.01232268,0.1208177,0.2038387,0.6603421],"study_design_scores_gemma":[0.000001782686,0.00001852738,0.0003108674,0.00005933037,0.000002618545,0.0002151487,0.0000659704,0.0003166567,0.003632051,0.005499341,0.9898725,0.000005245825],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001644929,0.002657106,0.005639911,0.0002270648,0.0005670795,0.00003225538,0.0001449194,0.000418431,0.9886683],"genre_scores_gemma":[0.007904663,0.001535256,0.002007324,0.00008854904,0.00006117979,0.000008312365,0.0001404013,0.00009803251,0.9881564],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1001904,"threshold_uncertainty_score":0.3351702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009398030591109635,"score_gpt":0.168827823103421,"score_spread":0.1594297925123113,"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."}}