{"id":"W4320924170","doi":"10.1007/978-3-031-13698-6","title":"Infodemic Disorder","year":2023,"lang":"en","type":"book","venue":"","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Pandemic; Political science; Coronavirus disease 2019 (COVID-19); Sociology; Medicine; Disease","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":[0.0001802884,0.0004380857,0.0002671253,0.001330843,0.001490393,0.002110998,0.0002576478,0.001140448,0.05660613],"category_scores_gemma":[0.0009553487,0.0001382426,0.0003385165,0.0008553255,0.001144498,0.001730573,0.001054126,0.001669242,0.01440808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008679814,"about_ca_system_score_gemma":0.0009094449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002835943,"about_ca_topic_score_gemma":0.006233828,"domain_scores_codex":[0.999869,0.00002052802,0.000006836062,0.00001637795,0.00005320077,0.00003408702],"domain_scores_gemma":[0.9998226,0.00007679163,0.00001961589,0.00001667264,0.0000299106,0.00003444483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002902328,0.00002820219,0.000545577,0.0002160907,0.000005986027,0.0008915106,0.0009144687,0.00005858231,0.0002302264,0.08009263,0.8001995,0.1167881],"study_design_scores_gemma":[0.000004216204,0.0000131959,0.000836806,0.0003712056,0.000005486023,0.003237307,0.0005362161,0.00004019025,0.000140731,0.00880144,0.9860085,0.000004697997],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003480249,0.04121099,0.0008153956,0.02165505,0.006066985,0.00005503931,0.000651539,0.0001730857,0.9258918],"genre_scores_gemma":[0.0303769,0.05420968,0.0008526303,0.01847333,0.003197894,0.00005427023,0.0004837505,0.0001250083,0.8922266],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05660613,"threshold_uncertainty_score":0.1893663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0379846375805857,"score_gpt":0.3375657528588502,"score_spread":0.2995811152782645,"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."}}