{"id":"W3121186052","doi":"10.3386/w14360","title":"Media versus Special Interests","year":2008,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Media Influence and Politics","field":"Social Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Harvard Business School; University of Chicago","keywords":"Computer science","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":[0.001665853,0.000403202,0.0004486594,0.002129295,0.001597284,0.005697417,0.0005111085,0.001849994,0.02280896],"category_scores_gemma":[0.01003076,0.0001907606,0.0003198881,0.001616976,0.004665771,0.006608399,0.003022837,0.001726951,0.001571538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001353523,"about_ca_system_score_gemma":0.0004833471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001016014,"about_ca_topic_score_gemma":0.001336026,"domain_scores_codex":[0.9979324,0.0006823324,0.00007865587,0.0003490415,0.000461948,0.000495686],"domain_scores_gemma":[0.9901773,0.005318885,0.00170026,0.000715567,0.0006400904,0.001447883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002392409,0.0001053438,0.01951553,0.0002449178,0.00004501247,0.0002826104,0.003923594,0.0002238977,0.0008469345,0.9306749,0.00603229,0.03786571],"study_design_scores_gemma":[0.0002370327,0.0005297711,0.09657972,0.000965531,0.0003896257,0.002159136,0.01805489,0.002223051,0.005412965,0.5794939,0.2938924,0.00006195646],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.163332,0.005203471,0.004527144,0.02256686,0.0003408582,0.00004946451,0.0002491017,0.0000566843,0.8036744],"genre_scores_gemma":[0.9863886,0.001361918,0.0003374544,0.00207319,0.0007180849,0.00003062241,0.00005584826,0.000024761,0.009009508],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02280896,"threshold_uncertainty_score":0.0763036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6075549131205317,"score_gpt":0.59394473274809,"score_spread":0.01361018037244166,"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."}}