{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001133637,0.001258907,0.0007185298,0.001283294,0.0005781231,0.0029062,0.001725023,0.001515695,0.005543783],"category_scores_gemma":[0.002850909,0.0006586039,0.001695447,0.001267748,0.0007793289,0.001993957,0.001081854,0.001402455,0.001058323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00217555,"about_ca_system_score_gemma":0.001776736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01877297,"about_ca_topic_score_gemma":0.00987666,"domain_scores_codex":[0.9994504,0.0001080784,0.00003654106,0.0001717441,0.0001624954,0.0000706705],"domain_scores_gemma":[0.9989361,0.0004494316,0.0001226522,0.0001203557,0.0003174049,0.00005406119],"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":[0.0001294991,0.00007020754,0.00291921,0.0001702933,0.00005942853,0.00009800986,0.0001965689,0.9364396,0.008140086,0.01552851,0.0007622316,0.03548644],"study_design_scores_gemma":[0.00000940691,0.00005289846,0.0008722434,0.00002024737,0.00002233967,0.00002544334,0.00005625628,0.9893835,0.002340621,0.005009415,0.002187137,0.00002039937],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1372801,0.001348136,0.8405817,0.0007142593,0.0001972444,0.0001361786,0.0005490085,0.001096377,0.01809695],"genre_scores_gemma":[0.8814464,0.001074604,0.102988,0.00008950137,0.00003223992,0.0002249911,0.0004005145,0.0001911786,0.01355255],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01877297,"threshold_uncertainty_score":0.03732735,"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."}}