{"id":"W2596835087","doi":"10.31269/vol10iss1pp100-113","title":"Persona Rights for User-Generated Content: A Normative Framework for Privacy and Intellectual Property Regulation","year":2012,"lang":"en","type":"article","venue":"tripleC Communication Capitalism & Critique Open Access Journal for a Global Sustainable Information Society","topic":"Persona Design and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Persona; Intellectual property; Normative; Property rights; Internet privacy; Identity (music); Perspective (graphical); Legal aspects of computing; Sociology; Law and economics; Political science; Conceptual framework; Property (philosophy); Business; Law; Computer science; Epistemology; World Wide Web; Philosophy; The Internet; Social science; Aesthetics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.03040444,0.0008168688,0.000881936,0.003535046,0.009832139,0.01738585,0.003745917,0.01284988,0.005760542],"category_scores_gemma":[0.03191651,0.0007215594,0.001376938,0.00207332,0.09053484,0.02168336,0.009653513,0.01010578,0.001411394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01392599,"about_ca_system_score_gemma":0.01824903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01846091,"about_ca_topic_score_gemma":0.009052932,"domain_scores_codex":[0.9655276,0.01881319,0.00140601,0.003563153,0.008518897,0.002171139],"domain_scores_gemma":[0.9731926,0.01469605,0.001664318,0.004294875,0.004911297,0.001240816],"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":[9.942667e-7,0.00000192669,0.00001847189,0.000004052151,5.549873e-7,0.000008182888,0.0008339141,0.00005576911,0.00001811962,0.9983984,0.0002167995,0.0004427953],"study_design_scores_gemma":[0.000007079842,0.00000639183,0.00005861673,0.00009654335,0.0000038378,0.00005187289,0.001064805,0.0005815795,0.0001912629,0.9568487,0.04107379,0.00001545072],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01379406,0.002097851,0.307679,0.08891015,0.0006691681,0.0002177895,0.0001427005,0.0002036029,0.5862857],"genre_scores_gemma":[0.8856,0.001547756,0.06338986,0.01227128,0.0007305176,0.001015231,0.0001345231,0.000259362,0.03505144],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03040444,"threshold_uncertainty_score":0.160796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09140004962293165,"score_gpt":0.4008997705961616,"score_spread":0.30949972097323,"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."}}