{"id":"W4411336000","doi":"10.1007/s11663-025-03590-z","title":"Modifications of Inclusions in Ca-Treated and Mg-Treated Pipeline Steel Melts","year":2025,"lang":"en","type":"article","venue":"Metallurgical and Materials Transactions B","topic":"Metallurgical Processes and Thermodynamics","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Pipeline (software); Metallurgy; Materials science; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000139715,0.0001631715,0.0003948748,0.0001582192,0.00008515424,0.0000316832,0.00007270805,0.0001250296,0.0004652249],"category_scores_gemma":[0.00001049414,0.0001402061,0.0000437858,0.0003534663,0.00009446904,0.0001023777,0.00001580247,0.00009698954,0.000003814445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001703285,"about_ca_system_score_gemma":0.00001026039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003748546,"about_ca_topic_score_gemma":0.0002632934,"domain_scores_codex":[0.999068,0.0000431709,0.0004521821,0.0001975451,0.00007541172,0.0001636935],"domain_scores_gemma":[0.9996533,0.00006614812,0.00002995297,0.0001340874,0.00004366377,0.00007280102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005526675,0.001671365,0.0000262872,0.002910324,0.0008962973,0.00007421159,0.0005505141,0.2271925,0.7259774,0.02871372,0.00008014206,0.0113546],"study_design_scores_gemma":[0.002592609,0.00005788697,0.006547478,0.000233395,0.0004180963,0.00003590024,0.0001115995,0.9643668,0.01626972,0.003258593,0.005602339,0.0005055785],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7577055,0.0006106244,0.2394046,0.0001123396,0.00008808522,0.0002262821,0.0001814882,0.00009196004,0.001579149],"genre_scores_gemma":[0.9970263,0.001609742,0.0003590846,0.0000134593,0.000006828859,0.00004650201,0.00003599114,0.0000138794,0.0008882312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7371743,"threshold_uncertainty_score":0.5717439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008082729492071962,"score_gpt":0.2208269830035833,"score_spread":0.2127442535115113,"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."}}