{"id":"W2248012937","doi":"","title":"Language in the Media: The Construction of the Domains of Public and Private¿,","year":2008,"lang":"en","type":"article","venue":"","topic":"Media and Digital Communication","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"New York Institute of Technology","funders":"","keywords":"Linguistics; Public relations; Business; Political science; Internet privacy; Computer science; Philosophy","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":[0.003122121,0.0004209219,0.0004006243,0.002331078,0.004934189,0.01599013,0.001442345,0.002331481,0.006694043],"category_scores_gemma":[0.01083961,0.0006535769,0.0006584232,0.001590277,0.02490681,0.02204192,0.003959268,0.003671047,0.001023191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003238761,"about_ca_system_score_gemma":0.003191227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003825835,"about_ca_topic_score_gemma":0.003042722,"domain_scores_codex":[0.9970054,0.001947429,0.0001101714,0.0003482554,0.0003259811,0.0002627114],"domain_scores_gemma":[0.9938225,0.003515503,0.0004948908,0.0009747706,0.0007679403,0.0004244251],"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":[0.000008475004,0.000004009368,0.0001328919,0.000008627854,0.000001008812,0.00001796305,0.002841558,0.00005876768,0.00008568924,0.9943892,0.0003671289,0.00208459],"study_design_scores_gemma":[0.00001285272,0.000007373323,0.0003348372,0.00005443355,0.000008559194,0.00009246813,0.005640385,0.001355093,0.0005432643,0.966422,0.02551558,0.000013039],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1105984,0.003690166,0.2370525,0.02437283,0.0004994722,0.00009213873,0.0003667431,0.0003821068,0.6229457],"genre_scores_gemma":[0.9557967,0.0007047269,0.02799919,0.0005301149,0.0001346177,0.00008788214,0.0001526499,0.000152373,0.01444187],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01599013,"threshold_uncertainty_score":0.02349901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03009928693854679,"score_gpt":0.2322219434674676,"score_spread":0.2021226565289208,"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."}}