{"id":"W4284666541","doi":"10.1007/s41686-022-00067-z","title":"An Evaluation of a Microlearning Intervention to Limit COVID-19 Online Misinformation","year":2022,"lang":"en","type":"article","venue":"Journal of Formative Design in Learning","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan; Royal Roads University","funders":"Canadian Institutes of Health Research","keywords":"Misinformation; Formative assessment; Comics; Intervention (counseling); Coronavirus disease 2019 (COVID-19); Psychology; Online learning; Medical education; Computer science; Applied psychology; Internet privacy; Multimedia; Medicine; Artificial intelligence; Mathematics education; Computer security","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":[0.02073035,0.00008222201,0.0001982414,0.0008806828,0.0005042136,0.00007311039,0.0002620335,0.00004174151,0.0007804132],"category_scores_gemma":[0.005298487,0.00008362992,0.00008843746,0.0007274196,0.00003706907,0.002271543,0.00003518953,0.0004981107,0.000005771637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001095947,"about_ca_system_score_gemma":0.0007507656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001393104,"about_ca_topic_score_gemma":0.00004863543,"domain_scores_codex":[0.9942699,0.003149576,0.0009719759,0.00005677638,0.001354575,0.0001972113],"domain_scores_gemma":[0.9973099,0.0002532011,0.001518609,0.0000663387,0.0006408111,0.0002112016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002071617,0.00009671326,0.0004586335,0.00001637082,0.00001161296,6.567337e-7,0.3856397,0.5721061,0.0005095048,0.0001753928,0.0003169559,0.04046118],"study_design_scores_gemma":[0.002990096,0.002201203,0.008093709,0.0001452014,0.00004736826,0.00003391693,0.8146985,0.153326,0.0005298126,0.0005137069,0.01721998,0.0002004933],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8769358,0.00005695088,0.120531,0.0005921907,0.0001667068,0.00035872,0.000003817478,0.00001430288,0.001340519],"genre_scores_gemma":[0.99652,0.00001786552,0.003056753,0.0002858099,0.00004510926,0.00000342507,0.00001481068,0.000005648464,0.00005050779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4290589,"threshold_uncertainty_score":0.8544977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1339526886470214,"score_gpt":0.4452604946090963,"score_spread":0.3113078059620749,"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."}}