{"id":"W2028431457","doi":"10.2355/isijinternational.44.1554","title":"Growth Rate and Phase Composition of Oxide Scales during Hot Rolling of Low Carbon Steel","year":2004,"lang":"en","type":"article","venue":"ISIJ International","topic":"Metallurgical Processes and Thermodynamics","field":"Engineering","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Wüstite; Hematite; Magnetite; Oxide; Iron oxide; Materials science; Atmospheric temperature range; Metallurgy; Oxidizing agent; Carbon steel; Phase (matter); Analytical Chemistry (journal); Mineralogy; Chemistry; Thermodynamics; Corrosion; Chromatography","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":[0.0001762357,0.0002106891,0.0002904293,0.0004048198,0.000201456,0.0003533611,0.0001611066,0.000207513,0.0005224239],"category_scores_gemma":[0.0005120646,0.0001790988,0.000174436,0.000275697,0.0002182437,0.0002540648,0.000115278,0.0002490867,0.0001157625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002975908,"about_ca_system_score_gemma":0.0001670131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002554827,"about_ca_topic_score_gemma":0.003306724,"domain_scores_codex":[0.999855,0.00001808697,0.000008836408,0.00002804511,0.00005508043,0.00003487116],"domain_scores_gemma":[0.999663,0.0001086913,0.00005771959,0.00001991049,0.000106777,0.00004390355],"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":[0.0002191738,0.00001615713,0.002347952,0.00003250593,0.000005465857,0.00005854808,0.00005507064,0.0003770222,0.9945642,0.00003308633,0.00002138717,0.002269397],"study_design_scores_gemma":[0.000009048456,0.0003171525,0.04150633,0.000005242986,0.00001430539,0.00006216432,0.00007415684,0.002720931,0.9548572,0.00002903891,0.0003934155,0.00001094609],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990356,0.0001698692,0.0003503648,0.000005883697,0.000002220996,0.000006896277,0.00007912235,0.00001354295,0.0003365347],"genre_scores_gemma":[0.9983625,0.0001215267,0.0005928907,0.000004637441,0.000002039098,0.000007493875,0.0002019361,0.00001131405,0.0006958123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002554827,"threshold_uncertainty_score":0.005079925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005400921074320554,"score_gpt":0.2174185686643343,"score_spread":0.2120176475900138,"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."}}