{"id":"W2977056867","doi":"10.1007/s42243-019-00318-7","title":"Ore-blending optimization for Canadian iron concentrate during iron ore sintering based on high-temperature characteristics of fines and nuclei","year":2019,"lang":"en","type":"article","venue":"Journal of Iron and Steel Research International","topic":"Iron and Steelmaking Processes","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities","keywords":"Limonite; Hematite; Iron ore; Sintering; Metallurgy; Materials science; Ferrous; Magnetite","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003706536,0.0001206418,0.0001998423,0.0004093964,0.00009058716,0.000134507,0.0001521742,0.00008526612,0.0001264429],"category_scores_gemma":[0.0001519355,0.0001075833,0.00003784389,0.00007905088,0.00004701101,0.0001989366,0.00002263623,0.0003016376,9.812019e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001890031,"about_ca_system_score_gemma":0.00009040515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008598768,"about_ca_topic_score_gemma":0.0001382064,"domain_scores_codex":[0.9989077,0.00003011808,0.0003215919,0.0001249975,0.0003711903,0.0002444211],"domain_scores_gemma":[0.999222,0.0001372514,0.0001030354,0.00007168965,0.0003225768,0.0001434591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00356544,0.0002589574,0.03999089,0.00867799,0.0002709251,0.0002308804,0.003103001,0.6097081,0.3020032,0.01303614,0.001253061,0.01790142],"study_design_scores_gemma":[0.007706096,0.001558654,0.1580804,0.003654072,0.0000478474,0.0001761841,0.00107107,0.7829516,0.02680463,0.00005061572,0.01715926,0.0007395879],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977292,0.0001172507,0.0001499736,0.0003858352,0.0005882393,0.0001527273,0.0000646124,0.000009153488,0.0008030442],"genre_scores_gemma":[0.9981912,0.0003564706,0.0007579749,0.00002637172,0.0001901464,0.000002977494,0.00001860411,0.00002451094,0.000431744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2751985,"threshold_uncertainty_score":0.4387119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01619514345784092,"score_gpt":0.2766836087493003,"score_spread":0.2604884652914594,"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."}}