{"id":"W3095400581","doi":"10.1111/capa.12393","title":"Should algorithms be regulated by government?","year":2020,"lang":"en","type":"article","venue":"Canadian Public Administration","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transparency (behavior); Accountability; Key (lock); Government (linguistics); Computer science; Algorithm; Political science; Economics; Computer security; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004417557,0.00009065382,0.00009815489,0.0000203644,0.000781509,0.0006015914,0.0002329204,0.0002566875,0.0006663433],"category_scores_gemma":[0.001383356,0.0001075098,0.00004116254,0.000324794,0.0001943843,0.0006337836,0.000009030438,0.0002131541,0.00002417363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004533431,"about_ca_system_score_gemma":0.003460401,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02065046,"about_ca_topic_score_gemma":0.5751827,"domain_scores_codex":[0.9985436,0.0001017545,0.0001593593,0.0002011234,0.0005773688,0.000416785],"domain_scores_gemma":[0.9980193,0.00004694424,0.00006824824,0.00009508016,0.0001557993,0.001614582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006127567,0.00002417833,0.0005427302,0.000005576366,0.0000285322,0.00002101426,0.005386175,1.12149e-7,0.00019869,0.5137425,0.4719617,0.008082641],"study_design_scores_gemma":[0.0001049363,0.00007725789,0.0001282755,0.000001979636,0.000005794913,3.03508e-7,0.003304813,0.00009559616,0.00009844657,0.0008443948,0.9951992,0.0001389878],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0121015,0.00003836216,0.0001202639,0.8933021,0.0001749837,0.0001911575,0.0002207267,0.00007025863,0.09378063],"genre_scores_gemma":[0.9760245,0.00002831777,0.00008664109,0.02089216,0.0003724856,0.000005840686,0.0001115691,0.00001179844,0.002466689],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.963923,"threshold_uncertainty_score":0.9858711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1094605445798491,"score_gpt":0.3435310098983057,"score_spread":0.2340704653184566,"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."}}