{"id":"W4387298612","doi":"10.37702/2175-957x.cobenge.2023.4506","title":"IMPACTOS DA UTILIZAÇÃO DA INTELIGÊNCIA ARTIFICIAL NA EDUCAÇÃO EM ENGENHARIA: UMA ABORDAGEM EXPLORATÓRIA","year":2023,"lang":"pt","type":"article","venue":"","topic":"Business and Management Studies","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","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":[0.01799373,0.0005154732,0.0005857337,0.00185833,0.001200182,0.009061415,0.001407259,0.001643502,0.00741771],"category_scores_gemma":[0.07177597,0.0003690854,0.0008388974,0.00297377,0.00326533,0.005097496,0.0030402,0.001573999,0.0005419953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00326762,"about_ca_system_score_gemma":0.00470355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008513999,"about_ca_topic_score_gemma":0.008168463,"domain_scores_codex":[0.9812028,0.01339097,0.0005728861,0.0007587307,0.003250614,0.0008238929],"domain_scores_gemma":[0.8665338,0.1130401,0.005656434,0.004984367,0.008366141,0.001419171],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.002232337,0.003400282,0.1372647,0.005962532,0.0006552986,0.000481445,0.03668751,0.01178173,0.007790344,0.09104048,0.003637399,0.699066],"study_design_scores_gemma":[0.0009183383,0.01367444,0.4507294,0.01111215,0.004977314,0.001137225,0.1163652,0.06521239,0.03343371,0.1289066,0.1731147,0.0004185636],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8947489,0.007567063,0.01033063,0.01011675,0.0001964988,0.0001671666,0.0001983075,0.0001839984,0.07649071],"genre_scores_gemma":[0.9894297,0.002154037,0.006238082,0.0003281886,0.00005345646,0.0000439001,0.00002170605,0.00002820772,0.001702869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01799373,"threshold_uncertainty_score":0.09516108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3067371963839866,"score_gpt":0.4262702374386877,"score_spread":0.1195330410547011,"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."}}