{"id":"W2892819158","doi":"10.1088/1757-899x/418/1/012066","title":"Evaluation of wear-induced plastic deformation at the trimmed edge of DP980 steel sheets","year":2018,"lang":"en","type":"article","venue":"IOP Conference Series Materials Science and Engineering","topic":"Metal Forming Simulation Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Trimming; Enhanced Data Rates for GSM Evolution; Materials science; Deformation (meteorology); Plasticity; Metallurgy; Die (integrated circuit); Composite material; Engineering; Mechanical engineering","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":[0.0001650565,0.000186635,0.0001457456,0.0004984812,0.0001365076,0.0001432336,0.0002521747,0.0002616661,0.001160531],"category_scores_gemma":[0.0004093727,0.0001620367,0.0001867083,0.0002826036,0.0001339599,0.0001652973,0.0001195754,0.0001710578,0.0001856738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001197282,"about_ca_system_score_gemma":0.00007577321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005556231,"about_ca_topic_score_gemma":0.0009683343,"domain_scores_codex":[0.9998416,0.000008458052,0.000008805609,0.00002017106,0.0001018953,0.0000190288],"domain_scores_gemma":[0.9996802,0.00006678409,0.00007484101,0.00005007644,0.0001044112,0.00002375241],"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":[0.0002394738,0.00004547534,0.008824932,0.0001144592,0.00001293082,0.0003623289,0.0001415756,0.004103333,0.9717065,0.0000312497,0.00008194684,0.01433581],"study_design_scores_gemma":[0.00001133696,0.001293766,0.2020898,0.00001523866,0.00003228083,0.0006064388,0.0002394,0.02509139,0.7693862,0.00005290621,0.001157572,0.00002362838],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986901,0.00007654688,0.0007857166,0.000003446181,0.00000280137,0.000006063102,0.00008408424,0.00002904469,0.0003222009],"genre_scores_gemma":[0.9980296,0.0000613954,0.001103836,0.000005243657,0.000001264488,0.000004606781,0.0001505622,0.000008080203,0.0006353364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001160531,"threshold_uncertainty_score":0.003882349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03730575354548476,"score_gpt":0.2615752962580355,"score_spread":0.2242695427125507,"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."}}