{"id":"W2589115599","doi":"10.4271/2017-01-1706","title":"Wear of D2 Tool Steel Dies during Trimming DP980-type Advanced High Strength Steel (AHSS) for Automotive Parts","year":2017,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Metal Alloys Wear and Properties","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Ford Motor Company","keywords":"Trimming; Automotive industry; Engineering; High strength steel; Manufacturing engineering; Automotive engineering; Mechanical engineering; Structural 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001049515,0.0008432847,0.001512608,0.0001626393,0.001297964,0.0002991563,0.001915222,0.0006080545,0.000597514],"category_scores_gemma":[0.00338847,0.0006599943,0.0005260492,0.0002398757,0.001807813,0.001200841,0.0009683868,0.000676273,0.0001130173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001769584,"about_ca_system_score_gemma":0.0001562501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008192394,"about_ca_topic_score_gemma":0.007940044,"domain_scores_codex":[0.9948435,0.0001983221,0.001401953,0.001380965,0.001005763,0.001169442],"domain_scores_gemma":[0.9958251,0.0005585545,0.0007525752,0.002219513,0.0003515287,0.0002927612],"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":[0.001641038,0.0003097364,0.0001210558,0.00027104,0.00005850011,0.00002390566,0.0001004261,0.00002791915,0.9884198,0.006033988,0.000320336,0.002672224],"study_design_scores_gemma":[0.001712741,0.002292056,0.8726957,0.0005747253,0.0001401435,0.00002663459,0.000272861,1.496596e-7,0.1091796,0.001687284,0.01053167,0.0008864498],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877048,0.0004507503,6.531445e-7,0.001125473,0.000784763,0.00145394,0.0002186035,0.001057355,0.007203708],"genre_scores_gemma":[0.9901227,0.0003876451,0.006138881,0.0002535228,0.0002123859,0.0003685179,0.00002618071,0.0001322338,0.002357874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8792402,"threshold_uncertainty_score":0.9995852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02123826897361267,"score_gpt":0.2659679727990502,"score_spread":0.2447297038254375,"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."}}