{"id":"W1529203432","doi":"","title":"Environment and Energy Policy: Comparing Reports from US and Canadian Television News","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Climate change; Political science; Granger causality; Energy (signal processing); News media; Geography; Meteorology; Econometrics; Economics; Statistics; Law; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.0006002887,0.00006603947,0.00009332916,0.00009687705,0.000644995,0.0001042455,0.00008398768,0.00005899957,0.00007848894],"category_scores_gemma":[0.00002969681,0.00006539801,0.00002085723,0.00006114017,0.00005925016,0.0001215097,0.00001808004,0.000330363,0.000002621847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001049749,"about_ca_system_score_gemma":0.0007092217,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5455019,"about_ca_topic_score_gemma":0.8888106,"domain_scores_codex":[0.9987704,0.0001108988,0.0001459337,0.0001148526,0.0001341223,0.0007238254],"domain_scores_gemma":[0.9995451,0.00001991258,0.00008435827,0.0001157371,0.00001217502,0.0002227289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001246376,0.00002721216,0.05650843,6.221633e-7,0.00002107507,0.000007247777,0.008175658,0.000008810808,0.0004380663,0.06713437,0.0001833392,0.8674827],"study_design_scores_gemma":[0.0004094878,0.0001619423,0.1467657,0.0000350031,0.00002706293,0.0002004074,0.01428378,0.0001680542,0.000007370809,0.3295189,0.5081165,0.0003057093],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9641024,0.005456457,0.0001614669,0.01496008,0.00005748096,0.0000445371,0.000001416653,0.00001572482,0.01520038],"genre_scores_gemma":[0.8664468,0.132342,0.0000327805,0.000497734,0.0002845797,5.955846e-7,0.000007890907,0.000003772292,0.0003839071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.867177,"threshold_uncertainty_score":0.4960845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08706926273659532,"score_gpt":0.3378662670935479,"score_spread":0.2507970043569526,"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."}}