{"id":"W2996170006","doi":"10.23925/2594-3871.2019v28i2p253-271","title":"A verdade está lá fora: Adaptação e avaliação das propriedades psicométricas da Escala Genérica de Crenças Conspiratórias (EGCC-Br)","year":2019,"lang":"pt","type":"article","venue":"Psicologia Revista","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Humanities; Psychology; Philosophy","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":[0.01108927,0.0005370196,0.0005606886,0.002188944,0.0008779742,0.003306484,0.0008843535,0.001060694,0.004919492],"category_scores_gemma":[0.04452813,0.0003544387,0.001036915,0.002106014,0.001936351,0.003116765,0.002369879,0.001239538,0.0009967269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002534057,"about_ca_system_score_gemma":0.002514357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01142085,"about_ca_topic_score_gemma":0.01442335,"domain_scores_codex":[0.9934842,0.002488117,0.0006315137,0.0009548427,0.00203692,0.0004044306],"domain_scores_gemma":[0.9721661,0.01165135,0.003605617,0.003493328,0.008321881,0.0007617043],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001047867,0.0002490487,0.3407466,0.003254594,0.0004225575,0.0003041725,0.07335047,0.000962469,0.0151358,0.01801008,0.01366308,0.5328534],"study_design_scores_gemma":[0.00006581179,0.0008126677,0.8709706,0.001387721,0.0004148424,0.0006185551,0.02999683,0.002172046,0.005362369,0.01124408,0.07670052,0.0002539698],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8828512,0.00326351,0.03224536,0.004389077,0.0003842788,0.001210384,0.003233278,0.0009479105,0.07147514],"genre_scores_gemma":[0.9563399,0.0009840899,0.03272409,0.0006361844,0.00005111615,0.0008514428,0.001085229,0.000193871,0.007134195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01142085,"threshold_uncertainty_score":0.05864644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08109714167532873,"score_gpt":0.3650614449914821,"score_spread":0.2839643033161534,"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."}}