{"id":"W4399828185","doi":"10.32920/26052556","title":"Trust, Acceptance, and Artificial Intelligence News Anchors","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Psychology; Artificial intelligence","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":[0.005575363,0.0001927339,0.0002448549,0.001323772,0.00123213,0.003940618,0.0002722878,0.0008450261,0.00393781],"category_scores_gemma":[0.04338573,0.0001768751,0.0002118357,0.0008502881,0.001916475,0.002371355,0.001281531,0.001349112,0.0004051663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001214363,"about_ca_system_score_gemma":0.0005756058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004261173,"about_ca_topic_score_gemma":0.002979688,"domain_scores_codex":[0.9953767,0.002283055,0.0002955569,0.0002623558,0.001426077,0.0003562483],"domain_scores_gemma":[0.9291731,0.03458191,0.02303948,0.002389939,0.006820631,0.003995016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007731626,0.0004598472,0.7650159,0.0004283023,0.0002127556,0.001024336,0.1333019,0.0004231498,0.003299483,0.01717051,0.003868937,0.07402179],"study_design_scores_gemma":[0.00006171135,0.0006349873,0.8463225,0.0003811842,0.0001511358,0.0007013779,0.1105256,0.004493284,0.001386277,0.009113885,0.02608987,0.0001382702],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9666712,0.000382371,0.001456304,0.001405791,0.00005684294,0.00002605022,0.00007116076,0.00001609486,0.02991423],"genre_scores_gemma":[0.9992412,0.00009180172,0.0001102143,0.00006076323,0.00002183841,0.000004967636,0.00002176622,0.000004347967,0.0004431598],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005575363,"threshold_uncertainty_score":0.02948564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1094139418964341,"score_gpt":0.4206416979846381,"score_spread":0.311227756088204,"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."}}