{"id":"W3185416486","doi":"10.7939/r3-jvfk-v389","title":"Collective Licensing Agencies and the Copyright Board","year":2021,"lang":"en","type":"article","venue":"Open MIND","topic":"Intellectual Property Law","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Law and economics; Computer security; Internet privacy; Computer science; Public relations; Political science; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01134946,0.0005109507,0.0004219526,0.004555214,0.02582523,0.02171779,0.002475823,0.006596071,0.01941414],"category_scores_gemma":[0.02845796,0.0004847968,0.0005955089,0.004697529,0.03223861,0.008166899,0.006275292,0.006948789,0.00160266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1062131,"about_ca_system_score_gemma":0.2203719,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9186125,"about_ca_topic_score_gemma":0.9427744,"domain_scores_codex":[0.9805306,0.00342282,0.0003506368,0.001415722,0.009312605,0.004967561],"domain_scores_gemma":[0.9725413,0.008505353,0.001803431,0.001197953,0.01067398,0.005278009],"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":[0.00001503939,0.00002320124,0.001568972,0.00006907954,0.000006245367,0.0001440839,0.008566455,0.0002624434,0.0002444513,0.929512,0.03293542,0.02665265],"study_design_scores_gemma":[0.00003082401,0.00002774131,0.009738783,0.0005135043,0.00002973481,0.0001001866,0.02194187,0.0008954965,0.0005795556,0.1008319,0.865229,0.00008134307],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0369774,0.007410973,0.006088051,0.1386685,0.0009942935,0.0001521507,0.0001237634,0.0001733335,0.8094115],"genre_scores_gemma":[0.7229822,0.005767544,0.00433661,0.0113476,0.0006075188,0.000129078,0.0001079229,0.000120127,0.2546014],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9186125,"threshold_uncertainty_score":0.7706339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08121880817917587,"score_gpt":0.3387217227909507,"score_spread":0.2575029146117748,"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."}}