{"id":"W1535853360","doi":"10.1111/padm.12184","title":"DETERMINANTS OF ORGANIZATIONAL MEDIATIZATION: AN ANALYSIS OF THE ADAPTATION OF SWEDISH GOVERNMENT AGENCIES TO NEWS MEDIA","year":2015,"lang":"en","type":"article","venue":"Public Administration","topic":"Public Relations and Crisis Communication","field":"Social Sciences","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute on Governance","funders":"Vetenskapsrådet; Styrelsen för Internationellt Utvecklingssamarbete","keywords":"Salience (neuroscience); Agency (philosophy); Public relations; Media management; Adaptation (eye); Government (linguistics); Media coverage; Affect (linguistics); Organizational structure; Business; Political science; Sociology; Psychology; Media studies","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001013902,0.00006438995,0.000173438,0.0001369095,0.0001343269,0.0000411745,0.0004174356,0.00006547329,0.0001313878],"category_scores_gemma":[0.002871878,0.00005544743,0.0000574905,0.00233704,0.0001433995,0.0005665112,0.00004886582,0.00003723719,8.731522e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001481473,"about_ca_system_score_gemma":0.00114029,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004338031,"about_ca_topic_score_gemma":0.02578798,"domain_scores_codex":[0.9978327,0.0003056579,0.0005350832,0.000122102,0.001106574,0.00009790468],"domain_scores_gemma":[0.9977659,0.0001463259,0.0006037591,0.0003614741,0.0009952759,0.0001272435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002304265,0.0003478086,0.7246485,0.000009888297,0.0001069923,8.905168e-8,0.05218138,0.001808601,0.0001848186,0.2103982,0.0002263872,0.01006434],"study_design_scores_gemma":[0.0004243085,0.0002494866,0.7960736,0.00001759885,0.000483418,5.211324e-7,0.156758,0.03412947,0.002184711,0.002420377,0.007021837,0.0002367154],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98096,0.00002165893,0.01146288,0.002887675,0.0001622954,0.0002623342,0.00007120078,0.00001405538,0.004157968],"genre_scores_gemma":[0.9979127,0.00002080857,0.001772303,0.00003419581,0.00004614257,0.00001435903,0.0001338636,0.000004773838,0.00006083582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2079778,"threshold_uncertainty_score":0.9919888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06942274079313049,"score_gpt":0.3322231872913237,"score_spread":0.2628004464981932,"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."}}