{"id":"W4391546813","doi":"10.2139/ssrn.4716669","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":13,"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001093075,0.0001677479,0.0001537879,0.0002439325,0.0004789733,0.0006745658,0.000815461,0.00007233737,0.00005400045],"category_scores_gemma":[0.0001372446,0.0001206428,0.000190992,0.000582758,0.0001053344,0.0006985031,0.00008239579,0.0009799018,0.0001976792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008646144,"about_ca_system_score_gemma":0.004487827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003246345,"about_ca_topic_score_gemma":0.0001782228,"domain_scores_codex":[0.9973096,0.00008147551,0.0003343567,0.00035143,0.0002263973,0.001696705],"domain_scores_gemma":[0.9993178,0.0001347851,0.00005058366,0.0002231904,0.0001629241,0.0001106917],"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":[0.000009634507,0.00002812902,2.161805e-7,0.000004283193,0.0000692223,0.000002339602,0.0006112478,0.0000904422,0.001123411,0.870425,0.001524298,0.1261118],"study_design_scores_gemma":[0.00003467996,0.0004699063,2.987311e-7,0.00001707841,0.00001077538,0.0003106309,0.0001629923,0.1544293,0.006029367,0.8171464,0.02122938,0.0001592389],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0003080161,0.004633939,0.9824585,0.009670334,0.0008888094,0.000174853,0.000003961183,0.000128415,0.001733132],"genre_scores_gemma":[0.966416,0.005446553,0.01539835,0.0007274912,0.003547804,0.00004248698,0.000004577939,0.00003832637,0.008378414],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9670602,"threshold_uncertainty_score":0.7961213,"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."}}