{"id":"W4411415068","doi":"10.1056/aipc2500153","title":"Lessons from the Failure of Canada’s Artificial Intelligence and Data Act","year":2025,"lang":"en","type":"article","venue":"NEJM AI","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network; University of Toronto","funders":"","keywords":"Artificial intelligence; Computer science","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0740294,0.0008267554,0.001974508,0.002877807,0.02551053,0.02450356,0.005742964,0.04660949,0.009878671],"category_scores_gemma":[0.1644345,0.001170494,0.001406782,0.0033331,0.0551257,0.009665139,0.007953755,0.06194771,0.001406838],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1366204,"about_ca_system_score_gemma":0.3374426,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9542326,"about_ca_topic_score_gemma":0.9595861,"domain_scores_codex":[0.9376349,0.02093427,0.00205655,0.004081818,0.02177893,0.01351343],"domain_scores_gemma":[0.7311477,0.1467457,0.006358236,0.007769039,0.05925326,0.04872616],"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":[0.0001145937,0.00005968465,0.003724491,0.00009475767,0.00009526981,0.0006420455,0.005120452,0.001151986,0.000113311,0.5147103,0.4544373,0.0197356],"study_design_scores_gemma":[0.0002847675,0.00005212126,0.006530741,0.001209883,0.00009995354,0.0003322554,0.006061274,0.001425881,0.0003209479,0.2925288,0.6908819,0.000271425],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.001873026,0.002180053,0.0005555931,0.9784782,0.001056637,0.000009955692,0.00007516617,0.00001925358,0.0157521],"genre_scores_gemma":[0.1716686,0.003823865,0.001896768,0.8003349,0.003419271,0.00008301396,0.0001169751,0.000180552,0.01847618],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9744895,"threshold_uncertainty_score":0.9912552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5619306336519689,"score_gpt":0.5951833525381953,"score_spread":0.03325271888622638,"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."}}