{"id":"W4391854717","doi":"10.3386/w32106","title":"Copyright Policy Options for Generative Artificial Intelligence","year":2024,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Law, AI, and Intellectual Property","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Generative grammar; Computer science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004123618,0.000230228,0.0004188885,0.001330337,0.0002492033,0.0004178839,0.001575037,0.0003333723,0.0003759364],"category_scores_gemma":[0.002125569,0.0001957029,0.0002903198,0.0005170063,0.0005101748,0.0003541163,0.0005013882,0.0006404509,0.0007268679],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002318018,"about_ca_system_score_gemma":0.01384408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007135772,"about_ca_topic_score_gemma":0.0001494878,"domain_scores_codex":[0.9964076,0.0001507691,0.0008335232,0.0008422638,0.001281481,0.0004843183],"domain_scores_gemma":[0.9945117,0.001340397,0.0001703995,0.0004621062,0.003380387,0.0001349738],"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":[0.00001156223,0.00004289185,1.854142e-7,0.0000839467,0.0001006573,0.000001419052,0.0001559613,0.0003369818,0.0002163701,0.802673,0.1880471,0.008329931],"study_design_scores_gemma":[0.00002884883,0.0001786782,4.285791e-7,0.00006331586,0.000005816992,0.00001410173,0.00001621524,0.07154495,0.006823693,0.8263367,0.09480654,0.0001806889],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.00002211297,0.002008615,0.1242336,0.01251865,0.002589241,0.001350624,0.0003783285,0.00008119587,0.8568177],"genre_scores_gemma":[0.5922474,0.01121909,0.08795217,0.0007210296,0.02992638,0.002894531,0.001912997,0.0003497541,0.2727766],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5922253,"threshold_uncertainty_score":0.9917465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5584127772579706,"score_gpt":0.5503577004278836,"score_spread":0.008055076830086993,"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."}}