{"id":"W4399908738","doi":"10.29327/277105.3.2-4","title":"Inteligência artificial: entre promessas e ameaças","year":2023,"lang":"pt","type":"article","venue":"CTS em foco Boletim da ESOCITE BR","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"York University","keywords":"Artificial intelligence; Computer science; Humanities; Philosophy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001110805,0.001064014,0.001005891,0.001063022,0.000875157,0.003244628,0.001784372,0.0006771834,0.005280341],"category_scores_gemma":[0.0008328875,0.00108184,0.000477018,0.005102307,0.0004090973,0.002443788,0.001759398,0.0009007253,0.04629475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000161419,"about_ca_system_score_gemma":0.0001824195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003604061,"about_ca_topic_score_gemma":0.0003619154,"domain_scores_codex":[0.9938608,0.00007222456,0.00131341,0.001613415,0.001277572,0.001862562],"domain_scores_gemma":[0.9966511,0.0001595692,0.0008047628,0.001433514,0.0008196076,0.0001314929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001436208,0.000522267,0.00618152,0.002036021,0.0002793858,0.0003591304,0.001873184,0.00008753395,0.001031783,0.01267623,0.7847692,0.1900401],"study_design_scores_gemma":[0.0005507873,0.00004902442,0.01302816,0.001328129,0.0004218906,0.00001169487,0.004454824,0.007173894,0.0006018245,0.006801441,0.9639072,0.001671159],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8265953,0.008254476,0.004469277,0.05018905,0.03313276,0.008692772,0.001270666,0.007695769,0.05969992],"genre_scores_gemma":[0.9302391,0.0005410501,0.00009115916,0.005067883,0.008200282,0.0002324785,0.002445437,0.0004188253,0.05276383],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1883689,"threshold_uncertainty_score":0.9991632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08853931984249905,"score_gpt":0.3095088322681923,"score_spread":0.2209695124256933,"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."}}