{"id":"W4416328333","doi":"10.2307/jj.35989995.11","title":"Protection of AI-Generated Images in Canadian Copyright Law:","year":2025,"lang":"","type":"book-chapter","venue":"Les Presses de l’Université d’Ottawa | University of Ottawa Press eBooks","topic":"Law, AI, and Intellectual Property","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Legislation; Legislature; Intellectual property","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":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005814724,0.001100461,0.001614091,0.001554366,0.001030177,0.000186342,0.004240002,0.00153913,0.001790479],"category_scores_gemma":[0.00007315047,0.001351868,0.0006496227,0.0002406214,0.00235381,0.001055743,0.001424654,0.001672932,0.0000191469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001243563,"about_ca_system_score_gemma":0.002157657,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7810556,"about_ca_topic_score_gemma":0.5522798,"domain_scores_codex":[0.9945719,0.0005520144,0.001017454,0.00168623,0.0008147369,0.001357672],"domain_scores_gemma":[0.9948021,0.0002586898,0.001049579,0.00165152,0.001492391,0.000745734],"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":[0.0008744422,0.0004041343,0.0004108183,0.002914784,0.001634765,0.001756759,0.009423997,0.001928087,0.00830381,0.8839216,0.05208344,0.03634332],"study_design_scores_gemma":[0.00243555,0.0006664065,0.0001822697,0.001975958,0.0005781504,0.00004800709,0.0002764812,0.01485061,0.05929602,0.001792857,0.9163686,0.001529076],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0004600785,0.001551849,0.0230464,0.0004560947,0.0004732066,0.00186194,0.0006385981,0.0001555783,0.9713563],"genre_scores_gemma":[0.7337557,0.001959808,0.002342916,0.0002552529,0.0001002407,0.000002844318,0.00009101729,0.0001008185,0.2613914],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8821288,"threshold_uncertainty_score":0.9997571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01826598602655786,"score_gpt":0.188296863570555,"score_spread":0.1700308775439971,"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."}}