{"id":"W2791328317","doi":"10.1080/03019233.2018.1440780","title":"Control of edge breaks during cold mill processing of commercial and drawing quality low-carbon steels","year":2018,"lang":"en","type":"article","venue":"Ironmaking & Steelmaking Processes Products and Applications","topic":"Microstructure and Mechanical Properties of Steels","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Essar Steel Algoma (Canada)","funders":"McMaster University","keywords":"Annealing (glass); Materials science; Metallurgy; Microstructure; Elongation; Carbon fibers; Grain size; Ultimate tensile strength; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002761544,0.0002724457,0.0004870611,0.000100615,0.0002647789,0.00005759663,0.000211288,0.0001245125,0.000004346874],"category_scores_gemma":[0.00009416382,0.0002532239,0.00003074048,0.0003751453,0.0003769698,0.0002041834,0.0001028775,0.0001933957,5.796353e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002593351,"about_ca_system_score_gemma":0.0000623489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002815754,"about_ca_topic_score_gemma":0.00002009357,"domain_scores_codex":[0.9983244,0.00002810058,0.0006499732,0.0004571656,0.000204499,0.0003358634],"domain_scores_gemma":[0.9988499,0.0000758078,0.0002911184,0.0003466667,0.000360736,0.00007571942],"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":[0.00008162524,0.00008914834,0.001202343,0.01202903,0.00007472499,6.272909e-7,0.001843036,0.0001930805,0.9455114,0.004496877,0.000007352095,0.03447074],"study_design_scores_gemma":[0.001395223,0.000134099,0.009500505,0.001279923,0.0001761285,0.00002751567,0.000350595,0.0006480317,0.9747878,0.0003955418,0.01060521,0.000699444],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851391,0.006699654,0.005195279,0.00009721115,0.0000919435,0.0009377821,0.00004504855,0.0001734874,0.001620515],"genre_scores_gemma":[0.9984099,0.0001259076,0.0008635686,0.00004005909,0.0003613917,0.0000776421,0.000003434084,0.00005202661,0.00006607118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0337713,"threshold_uncertainty_score":0.999992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01088865905063397,"score_gpt":0.2349994215956881,"score_spread":0.2241107625450541,"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."}}