{"id":"W6991198873","doi":"","title":"FEAR VS FACTS: UNPACKING THE GOVERNMENT OF CANADA'S FACEBOOK STRATEGY AGAINST COVID-19 VACCINE HESITANCY","year":2021,"lang":"en","type":"article","venue":"Scholars Commons (Wilfrid Laurier University)","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Misinformation; Unpacking; Government (linguistics); Social media; Health communication; Skepticism; Pandemic; Disinformation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006343005,0.00061295,0.0003508252,0.002933501,0.02355657,0.01368285,0.001268053,0.002974908,0.002802177],"category_scores_gemma":[0.01903425,0.0003463175,0.0003421409,0.002297489,0.02515924,0.005977337,0.006086772,0.005351265,0.0002273332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04677485,"about_ca_system_score_gemma":0.04883765,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7620443,"about_ca_topic_score_gemma":0.796299,"domain_scores_codex":[0.994444,0.002480687,0.0001162303,0.0002746124,0.001625362,0.001059209],"domain_scores_gemma":[0.98365,0.01098393,0.001634942,0.0004475303,0.001963639,0.001320024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006612878,0.0000542361,0.0176489,0.0001829376,0.0000297993,0.0007510813,0.8766509,0.0002722642,0.0007939046,0.05660523,0.01263686,0.0343077],"study_design_scores_gemma":[0.00001084755,0.00004812198,0.01588961,0.0004698664,0.00005612096,0.0001969914,0.8083255,0.0007948024,0.0008165984,0.008913457,0.1644004,0.00007765098],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7110738,0.002818339,0.002911821,0.09572151,0.0007779291,0.0001519355,0.0001322968,0.00009702693,0.1863153],"genre_scores_gemma":[0.9908575,0.0007800389,0.0004148791,0.003336277,0.00008481114,0.00002099485,0.00002453428,0.00002463002,0.004456329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2379557,"threshold_uncertainty_score":0.4787142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02018773554724013,"score_gpt":0.2456743850382066,"score_spread":0.2254866494909665,"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."}}