{"id":"W2767143097","doi":"10.5151/1982-9345-30611","title":"MODELO TERMOGRÁFICO DE DETECÇÃO DE COLAMENTO DE AÇO NO MOLDE NOS LINGOTAMENTOS CONTÍNUOS DA ARCELORMITTAL TUBARÃO","year":2017,"lang":"pt","type":"article","venue":"ABM Proceedings","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"ArcelorMittal (Canada)","funders":"","keywords":"Computer science","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":[0.0004247413,0.0008965523,0.0006284874,0.0008805509,0.0004015364,0.001031578,0.0007806082,0.001017707,0.003090043],"category_scores_gemma":[0.001184746,0.000387415,0.0007260767,0.000515084,0.0003223695,0.0005017233,0.0002730536,0.0007220453,0.0005053453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001186516,"about_ca_system_score_gemma":0.0007797164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06302868,"about_ca_topic_score_gemma":0.0475422,"domain_scores_codex":[0.9998676,0.0000151599,0.000007320137,0.00005225699,0.00003010822,0.00002763518],"domain_scores_gemma":[0.9995648,0.0002139713,0.00005554582,0.00002281031,0.0001225853,0.00002023705],"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":[0.0001778097,0.00005514215,0.0119716,0.00006538621,0.00003533314,0.00007423104,0.00003789398,0.9730967,0.002792006,0.0005332653,0.0006474522,0.01051325],"study_design_scores_gemma":[0.000004223722,0.00002118562,0.001986902,0.000006249023,0.000009770936,0.00001073973,0.00001157838,0.9969075,0.0006660583,0.000196924,0.0001730992,0.00000572328],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8090394,0.001192809,0.1716427,0.0005977289,0.0002401229,0.0001154692,0.003286312,0.003033605,0.01085189],"genre_scores_gemma":[0.9921637,0.0002232796,0.003772071,0.0000182455,0.00001109431,0.00005268677,0.0005216408,0.00005282538,0.003184385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06302868,"threshold_uncertainty_score":0.1253237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01762929226057996,"score_gpt":0.262658934827293,"score_spread":0.2450296425667131,"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."}}