{"id":"W2109710977","doi":"10.24135/pjr.v11i2.1053","title":"Different strokes for different folk: Regulatory distinctions in New Zealand media","year":2005,"lang":"en","type":"article","venue":"Pacific Journalism Review – Te Koakoa","topic":"Media Studies and Communication","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Statutory law; Project commissioning; Argument (complex analysis); Government (linguistics); State (computer science); Divergence (linguistics); Regulatory state; Publishing; Legislature; Scarcity; Regulatory authority; Broadcasting (networking); Public relations; Sociology; Law; Political economy; Economics; Political science; Market economy; Public administration","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":[0.01281039,0.000238564,0.0003538002,0.002771917,0.006614566,0.01149356,0.001289641,0.003485333,0.002521042],"category_scores_gemma":[0.01986158,0.0004633945,0.0004498601,0.002213025,0.0282873,0.007425054,0.003202905,0.005216517,0.0002926116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01719896,"about_ca_system_score_gemma":0.01645687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2325058,"about_ca_topic_score_gemma":0.3033791,"domain_scores_codex":[0.9898223,0.003442346,0.0006681385,0.001181979,0.0040216,0.0008637104],"domain_scores_gemma":[0.9921434,0.004532447,0.0009967471,0.0004983653,0.001525156,0.0003038985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004633413,0.0000280949,0.001021549,0.0003321303,0.00001333259,0.0003660263,0.04973903,0.000170377,0.001260665,0.8867106,0.007646799,0.05266493],"study_design_scores_gemma":[0.00006586822,0.0000964191,0.01947406,0.001833825,0.00005774053,0.0004989253,0.03561259,0.0004546938,0.0009947347,0.1211103,0.8196723,0.0001284692],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1068512,0.06371936,0.009318604,0.1599982,0.001506913,0.0002078354,0.00007234149,0.00006002178,0.6582656],"genre_scores_gemma":[0.8940278,0.02232482,0.003674392,0.02689151,0.0006609492,0.0002609384,0.00003887809,0.0000672562,0.05205353],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2325058,"threshold_uncertainty_score":0.4623049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04253586340718311,"score_gpt":0.3222698959120032,"score_spread":0.2797340325048201,"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."}}