{"id":"W4389127843","doi":"10.5151/2594-357x-15678","title":"MODELAGEM DO NÍVEL TÉRMICO DE UM ALTO-FORNO PARA AUMENTO DA EFICIÊNCIA OPERACIONAL UTILIZANDO REDES NEURAIS ARTIFICIAIS","year":2009,"lang":"pt","type":"article","venue":"ABM Proceedings","topic":"Iron and Steelmaking Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Semtech (Canada)","funders":"","keywords":"Physics; Humanities; Philosophy","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":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0006367995,0.0009555622,0.0008076455,0.0003839879,0.0005622059,0.001078953,0.0008452293,0.0005592149,0.0003775933],"category_scores_gemma":[0.0002252838,0.001014518,0.0002932319,0.0008461688,0.0001227606,0.001052549,0.0001443753,0.0009112359,0.000334524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003500775,"about_ca_system_score_gemma":0.0001737742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004227389,"about_ca_topic_score_gemma":0.000006597162,"domain_scores_codex":[0.9953978,0.00001944482,0.001007413,0.001074402,0.0008040214,0.001696901],"domain_scores_gemma":[0.9984548,0.00008000963,0.0002421316,0.0003505532,0.0004003605,0.0004721513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001800954,0.002500515,0.01216904,0.006455421,0.0009205078,0.0003717611,0.05958376,0.03449575,0.1885953,0.4091522,0.1271436,0.1568113],"study_design_scores_gemma":[0.004803571,0.001737969,0.01887895,0.003328002,0.0009324217,0.0006889373,0.00732391,0.5992546,0.07880268,0.007472417,0.2708559,0.005920609],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8966171,0.006688104,0.003443332,0.003438741,0.0010009,0.001113374,0.00009735659,0.001575427,0.08602574],"genre_scores_gemma":[0.9853142,0.0006271732,0.001330579,0.001120356,0.0005193254,0.00006566138,0.00002898526,0.0001650951,0.01082861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5647588,"threshold_uncertainty_score":0.999958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03625756652265485,"score_gpt":0.2810807444581253,"score_spread":0.2448231779354704,"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."}}