{"id":"W1940610975","doi":"10.1111/1467-9477.12003","title":"The Effects of Human Interest and Conflict News Frames on the Dynamics of Political Knowledge Gains: Evidence from a Cross‐national Study","year":2013,"lang":"en","type":"article","venue":"Scandinavian Political Studies","topic":"Social Media and Politics","field":"Social Sciences","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"Politics; Dynamics (music); Political science; National interest; Sociology; Law","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":[0.005325369,0.000196784,0.000361213,0.001648357,0.001107829,0.002909069,0.0003792705,0.0005954579,0.004479913],"category_scores_gemma":[0.01957579,0.0002477286,0.000352366,0.002217479,0.001950138,0.002077311,0.002473697,0.0008750678,0.0004384372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006975104,"about_ca_system_score_gemma":0.0004801839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007039716,"about_ca_topic_score_gemma":0.01034745,"domain_scores_codex":[0.9963831,0.00209477,0.0001975028,0.0004293125,0.0004673154,0.000427999],"domain_scores_gemma":[0.9286427,0.05219848,0.01208013,0.002752453,0.00254106,0.00178512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001238977,0.001379014,0.915071,0.0001869952,0.000538266,0.0003018549,0.04869545,0.000282821,0.0006965021,0.001901544,0.0005155586,0.02919205],"study_design_scores_gemma":[0.0000162723,0.0001819977,0.9764538,0.00005340237,0.0001186453,0.00007539291,0.0211892,0.0001653091,0.0002604765,0.0002126093,0.00126069,0.00001221019],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962505,0.000156575,0.00004384139,0.00006321895,0.00000306599,0.0000058819,0.00004997198,6.278683e-7,0.00342625],"genre_scores_gemma":[0.9993956,0.0001495142,0.00003927553,0.00002506261,0.000005763432,0.000008202082,0.00007476343,0.000001393327,0.0003005207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007039716,"threshold_uncertainty_score":0.02816355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1286725677062614,"score_gpt":0.4496354592477289,"score_spread":0.3209628915414675,"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."}}