{"id":"W4410175213","doi":"10.1051/matecconf/202540801066","title":"Sheared edge formability of multi-phase steels under in- and out-of-plane deformation","year":2025,"lang":"en","type":"article","venue":"MATEC Web of Conferences","topic":"Metal Forming Simulation Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Formability; Materials science; Deformation (meteorology); Enhanced Data Rates for GSM Evolution; Phase (matter); Plane (geometry); Geometry; Composite material; Physics; Computer science; Mathematics; Artificial intelligence","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":[0.0002220819,0.00007002371,0.0002171163,0.0001727155,0.000007359273,0.000005691952,0.00007255669,0.00005962958,0.00003563523],"category_scores_gemma":[0.00003201559,0.00006262984,0.00001969729,0.0001001055,0.00006047428,0.0001392404,0.00002025657,0.00004586161,5.33956e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000120658,"about_ca_system_score_gemma":0.00005588037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004945229,"about_ca_topic_score_gemma":0.00007433281,"domain_scores_codex":[0.9993789,0.00001715659,0.0004004303,0.00005605819,0.00007750272,0.00006991946],"domain_scores_gemma":[0.999684,0.00005958857,0.00006990871,0.0001100031,0.0000635624,0.00001288031],"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":[0.0004202258,0.0009127467,0.1682534,0.01778254,0.0003483086,0.000001393955,0.007832622,0.009616556,0.2642828,0.2591217,0.0001641,0.2712637],"study_design_scores_gemma":[0.001542044,0.0001264655,0.06716245,0.0004014791,0.00002027097,3.632432e-7,0.0006504455,0.1270335,0.7884934,0.01401744,0.0003850376,0.0001671051],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887114,0.0001184987,0.007009549,0.000008566433,0.0000813841,0.000179818,0.00002213436,0.00005838596,0.003810241],"genre_scores_gemma":[0.9987774,0.00003382338,0.001142319,0.000002201219,0.000001415151,0.00000598294,0.000009473881,0.000002900722,0.00002450863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5242106,"threshold_uncertainty_score":0.2553971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03192810104203312,"score_gpt":0.3074578695881769,"score_spread":0.2755297685461437,"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."}}