{"id":"W2068517385","doi":"10.1080/08109020903174564","title":"Remixing Canadian Copyright Law","year":2009,"lang":"en","type":"article","venue":"Prometheus","topic":"Intellectual Property Law","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Copyright law; Law; Political science; Law and economics; Sociology; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007459657,0.00007725045,0.0001029905,0.00008464625,0.0007845176,0.0001061276,0.0003113091,0.00009649013,0.002148842],"category_scores_gemma":[0.000441006,0.00006577138,0.00004004069,0.0003387601,0.0001827606,0.0001666811,0.000009271277,0.0001521535,0.0006714728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002759912,"about_ca_system_score_gemma":0.0003353473,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4258741,"about_ca_topic_score_gemma":0.551912,"domain_scores_codex":[0.9988483,0.0001418983,0.0001132449,0.0001710822,0.0002422262,0.0004832894],"domain_scores_gemma":[0.9993858,0.00006958006,0.0000247618,0.0001526496,0.00009083647,0.000276318],"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":[0.000009687006,0.0000300984,0.00004583793,0.000003093435,0.00001170978,0.00002567846,0.0284655,0.000001564975,0.0007075198,0.9148479,0.01396981,0.04188162],"study_design_scores_gemma":[0.00005762544,0.00004751575,0.00004376624,0.00001199892,0.000004249753,0.000001347198,0.0002258427,0.00002376162,0.001753514,0.03344867,0.9642499,0.0001317909],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.004799341,0.0001926464,0.0000350697,0.009819592,0.0002295614,0.0002223368,0.000001853093,0.0001048736,0.9845947],"genre_scores_gemma":[0.9833522,0.00001656861,0.001007972,0.003131327,0.0002045214,0.00000447759,0.000001254168,0.000007928837,0.01227377],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9785528,"threshold_uncertainty_score":0.9987633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03083353836171824,"score_gpt":0.3102715708804427,"score_spread":0.2794380325187245,"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."}}