{"id":"W4378214931","doi":"10.2139/ssrn.4445631","title":"The Media Ratings Project Report: A Cross-Cultural and Cross-Media Comparative Analysis","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Media Influence and Politics","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; University of Toronto","funders":"","keywords":"Cross-cultural; Cross-platform; Psychology; Political science; Computer science; 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":[0.01521979,0.0004221578,0.0004956108,0.006314936,0.001500553,0.003417775,0.0009495581,0.0006521303,0.01012457],"category_scores_gemma":[0.03796251,0.0003734905,0.0005865666,0.01178024,0.0006814009,0.003786024,0.002518283,0.001024457,0.003334578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001283074,"about_ca_system_score_gemma":0.002845422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04041302,"about_ca_topic_score_gemma":0.0514733,"domain_scores_codex":[0.9882509,0.005043798,0.0007356747,0.0006787849,0.00483603,0.0004547293],"domain_scores_gemma":[0.945909,0.02015071,0.005875102,0.003512745,0.02212362,0.002428932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001155042,0.001903588,0.5808295,0.001338196,0.0006810913,0.0002963943,0.02287496,0.0007799674,0.00320145,0.01354473,0.2176152,0.1557798],"study_design_scores_gemma":[0.00008410399,0.0003313738,0.8889238,0.00023474,0.0003002971,0.0001728909,0.02412017,0.000505448,0.002752698,0.0005938185,0.08189313,0.00008743947],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7305173,0.001728476,0.00915986,0.00346148,0.0005031218,0.002424959,0.1368584,0.0003762721,0.1149701],"genre_scores_gemma":[0.8328311,0.001721515,0.01301048,0.0008229653,0.0004928773,0.005921616,0.09415916,0.0008083834,0.0502319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04041302,"threshold_uncertainty_score":0.08049095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06168752276938612,"score_gpt":0.4379467700252533,"score_spread":0.3762592472558672,"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."}}