{"id":"W4237042816","doi":"10.31234/osf.io/wgy9e","title":"News from Generative Artificial Intelligence is Believed Less","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Respondent; Variety (cybernetics); Biology and political orientation; Generative grammar; Computer science; Psychology; News media; Artificial intelligence; Human intelligence; Politics; Social psychology; Political 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":[0.00387624,0.0003066644,0.0004000917,0.001780004,0.001098767,0.006766328,0.0003507789,0.001260232,0.01369476],"category_scores_gemma":[0.0295996,0.0002543918,0.000320429,0.001637072,0.004378024,0.005074622,0.001487575,0.002343993,0.002281311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001518422,"about_ca_system_score_gemma":0.0005870635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001575957,"about_ca_topic_score_gemma":0.00149868,"domain_scores_codex":[0.9958324,0.001445651,0.000291775,0.0005623689,0.001707052,0.0001607427],"domain_scores_gemma":[0.9704168,0.01602945,0.004450817,0.004541983,0.00354953,0.001011501],"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":[0.0009128954,0.0002320938,0.08604961,0.001539057,0.000425942,0.001666729,0.04579319,0.002211495,0.01149784,0.5651872,0.05898503,0.225499],"study_design_scores_gemma":[0.00007775539,0.0003048291,0.1105136,0.0009076191,0.0003145456,0.003198441,0.01795845,0.004063132,0.007755756,0.246429,0.6083289,0.0001481298],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3520468,0.007951592,0.03741222,0.05779389,0.002981915,0.0001041553,0.001308413,0.0003974393,0.5400035],"genre_scores_gemma":[0.961041,0.002305799,0.004445234,0.006989708,0.00136141,0.00002716581,0.001026194,0.000213727,0.02258983],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01369476,"threshold_uncertainty_score":0.04581356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2456533724230692,"score_gpt":0.4310351914316592,"score_spread":0.1853818190085901,"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."}}