{"id":"W3205085813","doi":"10.1177/00027642211050903","title":"Inoculating an Infodemic: An Ecological Approach to Understanding Engagement With COVID-19 Online Information","year":2021,"lang":"en","type":"article","venue":"American Behavioral Scientist","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Royal Roads University","funders":"Canadian Institutes of Health Research","keywords":"Public engagement; Pandemic; Public health; Context (archaeology); Coronavirus disease 2019 (COVID-19); Social media; Public relations; Psychology; Sociology; Political science; Medicine; Disease; Nursing; Geography","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001044261,0.0001309448,0.000174766,0.0001694383,0.001350819,0.0006886684,0.0002817252,0.00004849271,0.0002870593],"category_scores_gemma":[0.0003866422,0.0001146153,0.0000325953,0.001501681,0.0005121032,0.002449285,0.00008980175,0.0001696319,0.00002011707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009500086,"about_ca_system_score_gemma":0.000745126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005294163,"about_ca_topic_score_gemma":0.009597786,"domain_scores_codex":[0.9979287,0.0002991175,0.0003099447,0.0002357844,0.0007647724,0.0004616504],"domain_scores_gemma":[0.9983538,0.00004494176,0.0002108744,0.0002389248,0.0001224313,0.001029001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001002135,0.00478845,0.1193971,0.00004814876,0.00002921117,0.00003663308,0.5901393,0.0134773,0.0004064036,0.1365338,0.005385044,0.1296584],"study_design_scores_gemma":[0.0009456531,0.001024262,0.1313811,0.00001808624,0.00004683267,0.00002144409,0.7572148,0.002757834,0.00002894958,0.0001692638,0.1056435,0.0007482643],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9516187,0.000001236865,0.03505692,0.0009936399,0.0001193911,0.0003472961,0.000046407,0.0001594167,0.01165695],"genre_scores_gemma":[0.9767874,0.000002752105,0.01833145,0.004305698,0.00005367072,0.000007119474,0.0003634921,0.000005894352,0.0001424613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1670755,"threshold_uncertainty_score":0.9999493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2327396707705127,"score_gpt":0.4413712202828894,"score_spread":0.2086315495123768,"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."}}