{"id":"W4375861034","doi":"10.1037/xap0000475","title":"People are worse at detecting fake news in their foreign language.","year":2023,"lang":"en","type":"article","venue":"Journal of Experimental Psychology Applied","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Narodowym Centrum Nauki; Narodowe Centrum Nauki","keywords":"PsycINFO; Psychology; Foreign language; Cognition; Social psychology; Fake news; Contrast (vision); Cognitive psychology; Computer science; Artificial intelligence; Political science; Internet privacy; MEDLINE","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":[0.0007789843,0.00009569741,0.0002178352,0.0002549043,0.0002025265,0.00003088177,0.0002185888,0.0001129572,0.0006810069],"category_scores_gemma":[0.0000876489,0.00008062078,0.00007671291,0.0004852919,0.00007654289,0.0001795333,0.00004075049,0.0002020426,0.0001770725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001362383,"about_ca_system_score_gemma":0.00003401667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004674361,"about_ca_topic_score_gemma":0.0006744455,"domain_scores_codex":[0.9989069,0.00007902671,0.0003863078,0.0000974631,0.0002263266,0.0003039654],"domain_scores_gemma":[0.9993061,0.00009563435,0.0003354742,0.0001082535,0.00002155751,0.000132929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0007681484,0.0003164347,0.01097058,0.000009368354,0.00005874967,0.0000855792,0.7629884,0.00007258951,0.1615703,0.003285673,0.04006988,0.01980427],"study_design_scores_gemma":[0.002438373,0.0001202249,0.03836496,0.0000309161,0.000004267737,0.00004818691,0.9264361,0.00002068432,0.02341441,0.000685302,0.008233013,0.000203554],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8885083,0.0001377235,0.000020446,0.000461736,0.000310046,0.0001298229,0.00000128802,0.00003067054,0.1103999],"genre_scores_gemma":[0.9982365,0.00005267817,0.0001037375,0.001070916,0.0001941386,0.000003295832,0.000001569816,0.000009472935,0.0003276741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1634477,"threshold_uncertainty_score":0.7456548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04519195137510536,"score_gpt":0.3890046326783649,"score_spread":0.3438126813032596,"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."}}