{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000109036,0.0001640027,0.0002127047,0.0001935167,0.0002892645,0.0002670054,0.0002736588,0.00032917,0.002141227],"category_scores_gemma":[0.0002652101,0.0001471199,0.000232979,0.0001618204,0.0003129767,0.0002614115,0.0001727054,0.0002541326,0.0003099836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002910816,"about_ca_system_score_gemma":0.0002972021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001915699,"about_ca_topic_score_gemma":0.002870914,"domain_scores_codex":[0.9998307,0.000008677152,0.00001243673,0.00004518631,0.00006579668,0.00003719946],"domain_scores_gemma":[0.9998645,0.00001875421,0.00004722875,0.00001712381,0.00003819813,0.00001434376],"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":[0.0002218056,0.00001021937,0.0002527699,0.00002324265,0.000003879342,0.0000587639,0.00004785501,0.0002031151,0.9982265,0.00008325576,0.00002134935,0.0008472552],"study_design_scores_gemma":[0.000005742873,0.00009915562,0.002544499,0.000002861457,0.000006049807,0.00004513829,0.00003770978,0.0005661715,0.9958618,0.00002533744,0.0008017559,0.000003781528],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983089,0.0001253653,0.0005519319,0.00001284175,0.000009930117,0.000006222429,0.000101144,0.00002938257,0.0008542383],"genre_scores_gemma":[0.9972364,0.00005996541,0.0004963484,0.00000701588,0.000002406193,0.000005203577,0.0001342156,0.00002714192,0.002031304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002141227,"threshold_uncertainty_score":0.007163167,"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."}}