{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002726548,0.000884734,0.0007866154,0.0001949194,0.000636944,0.0009206897,0.001995157,0.0009802552,0.00006672881],"category_scores_gemma":[0.002382665,0.001018526,0.0002726399,0.0001832133,0.0004308384,0.0008948449,0.0007005676,0.001426962,0.0002197629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00175746,"about_ca_system_score_gemma":0.00009105946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002102678,"about_ca_topic_score_gemma":0.00001016106,"domain_scores_codex":[0.9955696,0.000008386207,0.0007289459,0.0009232447,0.0004839816,0.002285788],"domain_scores_gemma":[0.997682,0.0001144055,0.0004390947,0.0007908451,0.0002825601,0.0006910734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001155317,0.0001320335,0.01199064,0.0006912439,0.0002094756,0.00008264508,0.002077895,0.000928944,0.9719759,0.001115701,0.003234582,0.007445421],"study_design_scores_gemma":[0.001655833,0.000261182,0.001160284,0.0007141978,0.0001861323,0.0001266021,0.0009734188,0.1583424,0.8242366,0.002964811,0.008053476,0.001325037],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.980469,0.0004440297,0.004804222,0.000709108,0.0002576757,0.0008440941,0.00004635252,0.001717827,0.01070763],"genre_scores_gemma":[0.9848514,0.0004119969,0.01096765,0.000295371,0.000423457,0.0002827563,0.000005859825,0.0002552348,0.002506273],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1574135,"threshold_uncertainty_score":0.9992265,"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."}}