{"id":"W4409251471","doi":"10.1016/j.paid.2025.113177","title":"Profiling misinformation susceptibility","year":2025,"lang":"en","type":"article","venue":"Personality and Individual Differences","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council; Social Sciences and Humanities Research Council of Canada; Gates Cambridge Trust; Canada Foundation for Innovation; Bill and Melinda Gates Foundation","keywords":"Psychology; Misinformation; Profiling (computer programming)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002194422,0.0002528414,0.0002127928,0.001925268,0.0004574175,0.0009694105,0.0002011652,0.0003057337,0.001610675],"category_scores_gemma":[0.01540504,0.0001098585,0.0002843805,0.0009697257,0.0004146101,0.0009020886,0.001231401,0.0005237185,0.00022021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002385522,"about_ca_system_score_gemma":0.000334248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001644733,"about_ca_topic_score_gemma":0.002303931,"domain_scores_codex":[0.9989254,0.0005047283,0.0001292772,0.00009213752,0.0002297244,0.0001187198],"domain_scores_gemma":[0.9836533,0.00629553,0.006318187,0.001458203,0.001499589,0.0007750959],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009055802,0.00003614214,0.9751773,0.00004057242,0.00007129665,0.00007041523,0.004206119,0.0001816797,0.0004278474,0.0003003797,0.0001666704,0.01923082],"study_design_scores_gemma":[0.000002162436,0.0001239045,0.9916939,0.00003464308,0.00003109028,0.0002535726,0.005346053,0.0004996391,0.0004302345,0.0006629491,0.0009041516,0.0000175332],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978507,0.00013806,0.0004395595,0.00009017528,0.000004272978,0.00001194319,0.0001850104,0.000004462878,0.001275713],"genre_scores_gemma":[0.999375,0.00007960632,0.0002936321,0.00001450894,0.000003825216,0.000004212901,0.00009174934,9.702443e-7,0.0001365012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002194422,"threshold_uncertainty_score":0.01160532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07554689601789412,"score_gpt":0.3429123529672199,"score_spread":0.2673654569493258,"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."}}