{"id":"W4389975216","doi":"10.5429/662","title":"Introduction: Digital Nation: Copyright, Technology, Politics","year":2013,"lang":"en","type":"article","venue":"IASPM Journal","topic":"Copyright and Intellectual Property","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Politics; Intellectual property; Conversation; Copyright law; Revenue; Political science; Law and economics; Law; Public administration; Business; Sociology; Accounting","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":["scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001145288,0.0001477273,0.0001414616,0.0004335952,0.0004402698,0.001673273,0.0002936044,0.00008812109,0.03706604],"category_scores_gemma":[0.0002759892,0.0001034193,0.00007778469,0.0005129953,0.0001233816,0.003675615,0.0001118884,0.0003833263,0.008633799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005616205,"about_ca_system_score_gemma":0.00003173337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003181773,"about_ca_topic_score_gemma":0.000002576909,"domain_scores_codex":[0.9989656,0.000003522773,0.0002999133,0.000173629,0.0002451107,0.0003122847],"domain_scores_gemma":[0.9989571,0.00001429318,0.0001469796,0.0001709794,0.000686316,0.00002435148],"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":[0.000004990794,0.00004661427,0.0004773037,0.000009335742,0.00002173703,0.000006649641,0.00001973032,0.000001778281,0.0001589423,0.008214409,0.9718405,0.01919801],"study_design_scores_gemma":[0.0002445102,0.00002093656,0.0002746478,0.00001379532,0.00001425136,0.0002055665,0.0002086243,0.002840722,0.0002185563,0.05225166,0.9435322,0.0001745477],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1845844,0.0006939449,0.00270199,0.1340328,0.005756975,0.0004238688,0.000002199483,0.0005634366,0.6712404],"genre_scores_gemma":[0.9671354,0.00001377262,0.0001658778,0.001197668,0.01991352,0.000007087112,0.000007834981,0.00002255564,0.01153628],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7825511,"threshold_uncertainty_score":0.9993631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01439303802777445,"score_gpt":0.1931600807823934,"score_spread":0.178767042754619,"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."}}