{"id":"W4387951216","doi":"10.1109/ccece58730.2023.10288878","title":"Demystifying Canada’s Artificial Intelligence and Data Act (AIDA): The good, the bad and the unclear elements","year":2023,"lang":"en","type":"article","venue":"","topic":"Education, Law, and Society","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Computer science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.003695718,0.00006742627,0.00007212131,0.000006873466,0.002661959,0.0002515118,0.0006759333,0.0000326004,0.0001245292],"category_scores_gemma":[0.0005439004,0.00003110075,0.00001598802,0.0002833171,0.0008306766,0.00013599,0.0002382209,0.00009735183,0.000004771043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000386631,"about_ca_system_score_gemma":0.0006451252,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5576825,"about_ca_topic_score_gemma":0.9549639,"domain_scores_codex":[0.9987309,0.0003133566,0.0001587707,0.0001976024,0.0003526455,0.0002467247],"domain_scores_gemma":[0.9983125,0.001183779,0.00005183506,0.0003567428,0.00003850471,0.00005660759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001019944,0.00001457268,0.01612089,0.000007988501,0.00006516268,6.224441e-7,0.1179575,0.000008664529,0.000007965863,0.7338652,0.08777099,0.04417026],"study_design_scores_gemma":[0.0000772829,0.000006808335,0.01141919,0.000009639241,0.00004473614,6.418058e-7,0.5697416,0.002488195,0.00002220029,0.02628446,0.3897648,0.0001404765],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5476439,0.0006157266,0.0002558982,0.4018712,0.001572308,0.001176302,0.00004499541,0.0001139075,0.04670574],"genre_scores_gemma":[0.994531,0.001027078,0.00004692904,0.001346664,0.000326447,0.000009672151,0.000007818986,0.000005352006,0.00269903],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7075807,"threshold_uncertainty_score":0.9986364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1290119431287893,"score_gpt":0.3825700237583688,"score_spread":0.2535580806295795,"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."}}