{"id":"W4407871606","doi":"10.2139/ssrn.5110298","title":"Assessing the competitiveness of Canada’s regulatory environment for digital markets","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Digital Platforms and Economics","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Business; Industrial organization","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003459754,0.0003250002,0.0003230753,0.00461867,0.005121134,0.00952195,0.001148754,0.001326324,0.005374665],"category_scores_gemma":[0.01591767,0.0001848676,0.0004722569,0.00566653,0.002383656,0.001730158,0.001739606,0.001371325,0.0003922986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09378279,"about_ca_system_score_gemma":0.122376,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.989264,"about_ca_topic_score_gemma":0.9941842,"domain_scores_codex":[0.9940163,0.0004370202,0.0001295612,0.0003655189,0.003275655,0.001775971],"domain_scores_gemma":[0.9809575,0.002115529,0.001169181,0.0002936806,0.01236364,0.00310047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009552747,0.0005333142,0.6978461,0.0002795164,0.000365528,0.0006333046,0.003523231,0.02106401,0.002239698,0.1467713,0.04253035,0.08325845],"study_design_scores_gemma":[0.00008960397,0.0002880054,0.8866317,0.0002523385,0.0002131109,0.00007896363,0.01840382,0.01362892,0.002178488,0.004839407,0.07326987,0.0001257535],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8883868,0.0006795963,0.0006457067,0.003561385,0.00006980085,0.00009966951,0.002254952,0.00003617931,0.1042659],"genre_scores_gemma":[0.9939362,0.0001424776,0.0003881928,0.0002180049,0.00001320749,0.00001202045,0.0006681246,0.00001435935,0.00460752],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09378279,"threshold_uncertainty_score":0.680445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009488110156758092,"score_gpt":0.2037369053072455,"score_spread":0.1942487951504874,"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."}}