{"id":"W3089954654","doi":"","title":"Non-commercial user-generated content and exceptions to copyright : a comparison between the US, Canada, and the EU","year":2020,"lang":"en","type":"dissertation","venue":"UTUPub (University of Turku)","topic":"Copyright and Intellectual Property","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Content (measure theory); User-generated content; Copyright law; Business; Political science; Computer science; World Wide Web; Law; Intellectual property; Mathematics; Social media","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":[0.0001375529,0.0002262083,0.0004633222,0.0001077334,0.000768774,0.0001689358,0.0004295529,0.000107958,0.000917619],"category_scores_gemma":[0.00004669431,0.0001477399,0.00008268394,0.0003281632,0.0001498152,0.0002674624,0.0002103594,0.0003061179,0.00003520712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000503044,"about_ca_system_score_gemma":0.0001111394,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6199068,"about_ca_topic_score_gemma":0.8159048,"domain_scores_codex":[0.9990643,0.00002474483,0.0001847647,0.0002849537,0.0002565112,0.0001846808],"domain_scores_gemma":[0.9992327,0.00007557521,0.0002225277,0.0001843361,0.0002478936,0.00003694018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008204547,0.0000268374,0.005813296,0.0001985695,0.000274092,0.000006183799,0.00385658,0.000003721985,0.0001629174,0.0006570473,0.9814302,0.00675006],"study_design_scores_gemma":[0.001477207,0.00003477546,0.1872945,0.0001013171,0.0006736911,6.60704e-7,0.006911471,0.007980243,0.00007896704,0.00005400348,0.7949772,0.0004159965],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9653956,0.0001684153,0.00005688617,0.01422388,0.000400994,0.0006978833,0.00003662674,0.00002759691,0.01899209],"genre_scores_gemma":[0.9897282,0.0000335375,0.00002165182,0.001517279,0.0003581789,0.000001403574,0.0004189394,0.00001653576,0.007904334],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.195998,"threshold_uncertainty_score":0.9999956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0288698446548205,"score_gpt":0.1981912929099319,"score_spread":0.1693214482551114,"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."}}