{"id":"W2048372768","doi":"10.1179/030192301678046","title":"The hot strip mill as an experimental tool","year":2001,"lang":"en","type":"article","venue":"Ironmaking & Steelmaking Processes Products and Applications","topic":"Metallurgy and Material Forming","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Mill; Softening; Kinetics; Metallurgy; Materials science; Rolling mill; Mechanical engineering; Composite material; Engineering; Physics","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":[0.0001873528,0.0001966077,0.0001347328,0.00003940857,0.0007219163,0.000256286,0.0002364884,0.00005684395,0.00002611177],"category_scores_gemma":[0.0000425475,0.0001545286,0.00001749855,0.0002811946,0.0000895925,0.0003424728,0.00005605341,0.0001181175,0.00002876365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002714727,"about_ca_system_score_gemma":0.00003502148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009450437,"about_ca_topic_score_gemma":0.00001069424,"domain_scores_codex":[0.9989354,0.00001443663,0.0002465729,0.0003376679,0.0001483833,0.0003175305],"domain_scores_gemma":[0.9993914,0.00004545616,0.00006314751,0.0003800722,0.00006224529,0.00005771692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001658004,0.0004979233,0.0002965302,0.001386994,0.0001507979,0.00002135949,0.004602938,0.005184703,0.2515158,0.3733645,0.0004775653,0.3623351],"study_design_scores_gemma":[0.0001793935,0.00005251808,0.0002448451,0.00004595775,0.00002541768,0.0001062271,0.0005370164,0.0004442515,0.04519629,0.00102106,0.9518024,0.0003446439],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9693941,0.008749533,0.005057813,0.0002254104,0.000425296,0.001143965,0.000009474875,0.000774121,0.01422027],"genre_scores_gemma":[0.9964805,0.0006466528,0.0008157518,0.00005543439,0.0004692144,0.0003935399,0.0000144615,0.00004392249,0.001080584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9513248,"threshold_uncertainty_score":0.6301494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01512130429098389,"score_gpt":0.2542145294157168,"score_spread":0.2390932251247329,"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."}}