{"id":"W2752675207","doi":"10.1111/ssqu.12445","title":"A Cross‐National Analysis of the Causes and Consequences of Economic News","year":2017,"lang":"en","type":"article","venue":"Social Science Quarterly","topic":"Media Influence and Politics","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Generalizability theory; Public opinion; Tone (literature); Politics; Government (linguistics); News media; Economic analysis; Political science; Mass media; Perception; Media coverage; Economics; Sociology; Psychology; Media studies; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.001068211,0.00004964249,0.0001603539,0.00009300758,0.001963986,0.0002138476,0.0007469013,0.00004750077,0.00006615747],"category_scores_gemma":[0.0003843412,0.00003806393,0.00008757783,0.0002722668,0.0134764,0.0005067082,0.00002059261,0.00004403348,0.000002608466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006680614,"about_ca_system_score_gemma":0.001238686,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01720652,"about_ca_topic_score_gemma":0.01107789,"domain_scores_codex":[0.9988859,0.00006279702,0.00019978,0.0001446023,0.0004953908,0.0002115736],"domain_scores_gemma":[0.9991084,0.0001099109,0.0003598364,0.0001583904,0.0001957227,0.00006772271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002317656,0.00000893119,0.503554,0.000003280404,0.00003643883,1.364087e-7,0.05012941,0.000002969705,0.001174359,0.4429334,0.00003162691,0.002123117],"study_design_scores_gemma":[0.0001035356,0.00003671554,0.9562297,0.000006656234,0.00008596983,1.330562e-7,0.01435283,0.00003121364,0.0007590686,0.02764848,0.0006573383,0.00008830873],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9634978,0.00001007157,0.000001803092,0.001429351,0.0002546386,0.00007262995,0.00004204462,0.000004032151,0.03468763],"genre_scores_gemma":[0.9996037,0.000006107936,0.00001986674,0.0000877381,0.0001127245,0.000002937657,2.676975e-7,0.000001161324,0.0001655258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4526758,"threshold_uncertainty_score":0.9993353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04896367677990575,"score_gpt":0.4097029587018327,"score_spread":0.3607392819219269,"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."}}