{"id":"W4414128557","doi":"10.1080/1369118x.2025.2556745","title":"How and why governments are regulating AI: a comparison of legislative frameworks","year":2025,"lang":"en","type":"article","venue":"Information Communication & Society","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Legislature; Government (linguistics); Politics; Key (lock); Focus (optics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04694705,0.0002856475,0.0006611875,0.004954293,0.0131679,0.02236364,0.002320357,0.007423424,0.002029717],"category_scores_gemma":[0.06573887,0.0008196215,0.001138077,0.005578174,0.0437608,0.01226798,0.005713891,0.008257777,0.0003479726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02070792,"about_ca_system_score_gemma":0.02396099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04065334,"about_ca_topic_score_gemma":0.04849557,"domain_scores_codex":[0.9269861,0.04161116,0.002450923,0.003852739,0.01729899,0.007800073],"domain_scores_gemma":[0.9265445,0.05317696,0.004510803,0.004329572,0.009639822,0.00179826],"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":[0.00001086468,0.00001110124,0.0009930494,0.0000514104,0.00001513801,0.00004972864,0.01944613,0.0003035463,0.0001123282,0.9710646,0.001697752,0.006244298],"study_design_scores_gemma":[0.00005949459,0.00007299008,0.01377812,0.00247838,0.0001160425,0.0002262015,0.101834,0.001429624,0.001105527,0.5173641,0.3613575,0.000178079],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1814734,0.0166289,0.03403915,0.1872651,0.000942615,0.0001657996,0.0001498318,0.0001916606,0.5791435],"genre_scores_gemma":[0.9759604,0.003843308,0.003723359,0.01151358,0.0001690777,0.000175127,0.00004998398,0.000108941,0.004456245],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04694705,"threshold_uncertainty_score":0.2482827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03832755818623147,"score_gpt":0.3799839564188419,"score_spread":0.3416563982326105,"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."}}