{"id":"W4412478152","doi":"10.18617/liinc.v21i1.7546","title":"Soberania e Inteligência Artificial","year":2024,"lang":"pt","type":"article","venue":"Liinc em Revista","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Political science; Humanities; Psychology; 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":[0.004214997,0.0005294401,0.0005690888,0.002140084,0.00157424,0.005915768,0.001206909,0.001245463,0.01169756],"category_scores_gemma":[0.02356849,0.0003871156,0.0007425143,0.002027546,0.00393123,0.006345903,0.003234009,0.002122112,0.001624831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001650401,"about_ca_system_score_gemma":0.001434394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006491005,"about_ca_topic_score_gemma":0.01075604,"domain_scores_codex":[0.9965273,0.001642785,0.000168537,0.0006377448,0.0008509628,0.0001727652],"domain_scores_gemma":[0.9919661,0.004553764,0.0003873589,0.001844476,0.001051053,0.0001972579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001189738,0.00009523233,0.007739046,0.0004351715,0.00007706422,0.0003496631,0.003862974,0.00529783,0.002113119,0.6628038,0.01745285,0.2996543],"study_design_scores_gemma":[0.00002916189,0.00006294854,0.005856811,0.0003805809,0.00009059784,0.000723825,0.00339332,0.06163134,0.004121866,0.6354345,0.2882233,0.00005178569],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1292376,0.01470826,0.3518703,0.02084887,0.002086012,0.000246545,0.001390789,0.002833775,0.4767779],"genre_scores_gemma":[0.7802955,0.004244444,0.1744683,0.001157812,0.0005887297,0.0001314107,0.0009555753,0.0004460299,0.03771231],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01169756,"threshold_uncertainty_score":0.03913224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06866415435170696,"score_gpt":0.3092053677202266,"score_spread":0.2405412133685196,"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."}}