{"id":"W6923508318","doi":"10.14288/1.0445306","title":"Testing the efficacy of an election misinformation fact check","year":2024,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Misinformation; Sample (material); Democracy; Test (biology); General election; Presidential election; False accusation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01582066,0.0003991081,0.0005191186,0.001247308,0.003645381,0.002265998,0.001058169,0.0008888808,0.003683547],"category_scores_gemma":[0.08494362,0.000350658,0.0005180622,0.001220495,0.002978833,0.0009735572,0.001347887,0.001313683,0.0004309328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008001908,"about_ca_system_score_gemma":0.01295391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4203659,"about_ca_topic_score_gemma":0.4792044,"domain_scores_codex":[0.9902271,0.003624415,0.0004557059,0.0007579756,0.003844715,0.00109016],"domain_scores_gemma":[0.8805877,0.06443183,0.02427549,0.01060722,0.01659168,0.003506057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.001713447,0.003286598,0.9054992,0.0002332231,0.0002171688,0.0001293515,0.02559503,0.0008573387,0.001717414,0.004020405,0.002242727,0.05448801],"study_design_scores_gemma":[0.0001222174,0.001680794,0.9699819,0.000126213,0.0001935212,0.00004410515,0.01630484,0.002013196,0.002207304,0.0006420791,0.006610687,0.00007303409],"study_design_candidate":"randomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925998,0.00003763454,0.0002285501,0.0003390725,0.00001795336,0.0002045828,0.000175035,0.000007431594,0.006389942],"genre_scores_gemma":[0.996931,0.00006974469,0.0007696477,0.000156408,0.00001281564,0.0001663953,0.0001916607,0.000004571454,0.001697718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4203659,"threshold_uncertainty_score":0.8358381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02241674174463285,"score_gpt":0.2381179974318484,"score_spread":0.2157012556872156,"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."}}