{"id":"W2159978024","doi":"10.1007/s10798-004-0809-6","title":"Technology and Rights","year":2004,"lang":"en","type":"article","venue":"International Journal of Technology and Design Education","topic":"Law, AI, and Intellectual Property","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Intellectual property; Trademark; Civil liberties; Law and economics; Political science; Fundamental rights; Property rights; Politics; Technological change; Law; Human rights; Sociology; Economics","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":[0.001582826,0.0004545485,0.0004937445,0.001008534,0.004062514,0.008513247,0.0005486176,0.004103154,0.03013264],"category_scores_gemma":[0.004015405,0.0002895324,0.0003323836,0.0008643038,0.01677247,0.00813404,0.002564869,0.004835914,0.003587746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002411401,"about_ca_system_score_gemma":0.002471223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004744851,"about_ca_topic_score_gemma":0.003716648,"domain_scores_codex":[0.9986744,0.0004693442,0.00005983648,0.0002997959,0.0003210864,0.0001754778],"domain_scores_gemma":[0.9989817,0.000463663,0.00006721225,0.0002289687,0.0001613292,0.00009717465],"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":[0.00000158417,0.000002777153,0.00004345919,0.00000317346,7.343272e-7,0.000007905928,0.0002118079,0.00001942223,0.0000204389,0.9958359,0.002042041,0.001810717],"study_design_scores_gemma":[0.000006641706,0.000008534629,0.0001708048,0.00004800571,0.000003191665,0.00005951824,0.0003790671,0.00007059397,0.00007622328,0.8557063,0.1434668,0.00000428303],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.00406244,0.007041295,0.00573469,0.01813977,0.0003903386,0.00002312167,0.00007745797,0.00002849395,0.9645025],"genre_scores_gemma":[0.6152599,0.008646046,0.004019648,0.007730043,0.001848346,0.0001755633,0.0001746563,0.0001030745,0.3620428],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03013264,"threshold_uncertainty_score":0.1008037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01349830916371679,"score_gpt":0.2599219423054507,"score_spread":0.246423633141734,"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."}}