{"id":"W4391892290","doi":"10.2139/ssrn.4707911","title":"Copyright Policy Options for Generative Artificial Intelligence","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Law, AI, and Intellectual Property","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Generative grammar; Artificial intelligence; Computer science; Business","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01062946,0.000614727,0.0008687894,0.001820449,0.004376781,0.01337788,0.00333001,0.009723346,0.04192714],"category_scores_gemma":[0.03468068,0.0006287639,0.001194469,0.001764319,0.01260468,0.01806585,0.00418919,0.007749533,0.004720446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004090971,"about_ca_system_score_gemma":0.003975092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003027825,"about_ca_topic_score_gemma":0.003720134,"domain_scores_codex":[0.9951258,0.002429615,0.0002110077,0.000600137,0.001141476,0.0004920114],"domain_scores_gemma":[0.9833401,0.009710138,0.0004657031,0.004713552,0.001123329,0.0006470968],"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":[0.000003185723,0.000006015804,0.00001684865,0.000004574715,0.000001206475,0.000008563369,0.00006010778,0.0003007058,0.0000192343,0.9965077,0.001041353,0.002030454],"study_design_scores_gemma":[0.000003936595,0.00000164108,0.00001167682,0.00001146778,0.000001384051,0.000006286398,0.00002774977,0.001042784,0.0000307538,0.9914594,0.007399615,0.000003297292],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01594889,0.002739682,0.178218,0.06603342,0.001232162,0.0001125818,0.0002455082,0.0006981737,0.7347716],"genre_scores_gemma":[0.8507603,0.002007218,0.05210852,0.007448411,0.002047575,0.0004168538,0.0001981821,0.0006188606,0.08439407],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04192714,"threshold_uncertainty_score":0.1402602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03251548335334099,"score_gpt":0.2994241212751863,"score_spread":0.2669086379218453,"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."}}