{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001135084,0.00008395605,0.0001218686,0.00008183347,0.0007577142,0.0003159102,0.0001508351,0.00009038475,0.0003712694],"category_scores_gemma":[0.0004902151,0.00007116643,0.00003501615,0.0002262431,0.0003274174,0.0006802495,0.00003863503,0.0001090701,0.00001313174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003301976,"about_ca_system_score_gemma":0.0001940608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007086787,"about_ca_topic_score_gemma":0.0006359195,"domain_scores_codex":[0.9989643,0.0001311359,0.0002117664,0.000118893,0.0003564738,0.0002174926],"domain_scores_gemma":[0.9995431,0.0001326295,0.00006695134,0.00007964116,0.00007774439,0.00009991123],"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":[0.00003159861,0.00008178249,0.2272626,0.0001660226,0.00005542495,2.507981e-7,0.1905633,6.870031e-7,0.00001823582,0.4928702,0.002282455,0.08666747],"study_design_scores_gemma":[0.0002646784,0.00002854781,0.9197332,0.00004418711,0.00002073964,4.495115e-7,0.06456649,0.0001300228,0.00009145835,0.008358693,0.006620352,0.0001412298],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8504301,0.0001048881,0.0001839822,0.001927304,0.0001327639,0.0001635457,0.00002417831,0.0000582457,0.146975],"genre_scores_gemma":[0.9975498,0.00009157464,0.0002157533,0.0007791772,0.00004601808,0.000002356516,0.00002171428,0.000001097682,0.001292471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6924706,"threshold_uncertainty_score":0.5827801,"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."}}