{"id":"W3155432918","doi":"10.18357/anthropologica6312021326","title":"\"No Silver Bullet Solution\": Cruel Optimism and Canada’s COVID-19 Public Health Messages","year":2021,"lang":"en","type":"article","venue":"Anthropologica","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island; St. Francis Xavier University","funders":"Australian Government; Canadian Institutes of Health Research; St. Francis Xavier University","keywords":"Optimism; Politics; Coronavirus disease 2019 (COVID-19); Silver bullet; Public health; Sociology; Technoscience; Public relations; Political science; Criminology; Psychology; Law; Social psychology; Social science; Medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005610997,0.00009600185,0.0001702516,0.00003494351,0.002968695,0.0001601031,0.0001370741,0.00009039517,0.01142857],"category_scores_gemma":[0.001839367,0.00008269422,0.00002817899,0.0001560913,0.000739597,0.0002388256,0.00007023871,0.0001111655,0.00003661185],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002738381,"about_ca_system_score_gemma":0.007581423,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7099401,"about_ca_topic_score_gemma":0.7201052,"domain_scores_codex":[0.9985144,0.000283649,0.0002058317,0.0001811195,0.0003327056,0.0004823389],"domain_scores_gemma":[0.9987904,0.00013504,0.0001114252,0.0001469423,0.0001013037,0.000714877],"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":[0.000003608958,0.00004713095,0.0005255354,0.00002217653,0.00001672287,0.00002371458,0.0125501,0.000004303212,0.00001210813,0.0579883,0.925821,0.002985271],"study_design_scores_gemma":[0.0001936145,0.00003614269,0.001356994,0.000003724005,0.000002172945,0.00000910077,0.04883107,0.00002305129,0.00001139932,0.0002276334,0.9491906,0.0001145177],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.008934721,0.0019614,0.0009773285,0.7443158,0.0007606717,0.0002166129,0.00004859956,0.000148974,0.2426359],"genre_scores_gemma":[0.9172725,0.008533333,0.0008382637,0.05857899,0.0001330727,0.000002290284,0.00003336414,0.00000573453,0.01460242],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9083378,"threshold_uncertainty_score":0.9983293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09456745070451655,"score_gpt":0.3750289948676677,"score_spread":0.2804615441631512,"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."}}