{"id":"W2997881891","doi":"10.2196/18878","title":"Antivaccine Messages on Facebook: Preliminary Audit","year":2020,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"University of Calgary","keywords":"Internet privacy; Audit; Business; Advertising; World Wide Web; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.01129689,0.0005310934,0.0004522809,0.005407967,0.001787568,0.001731423,0.0006562318,0.0005966986,0.00456437],"category_scores_gemma":[0.05160457,0.0006800655,0.0005901842,0.002573496,0.0008717079,0.001679336,0.001827176,0.0009860783,0.002445071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00163872,"about_ca_system_score_gemma":0.002510744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005083209,"about_ca_topic_score_gemma":0.01129978,"domain_scores_codex":[0.9891993,0.004688584,0.001740524,0.0003699557,0.003233593,0.0007679446],"domain_scores_gemma":[0.9138076,0.03942853,0.008903312,0.00578399,0.02972715,0.002349438],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002077577,0.004792714,0.5272934,0.004112278,0.00009903415,0.001431636,0.05803807,0.0006308416,0.006533085,0.001434496,0.03620399,0.3573529],"study_design_scores_gemma":[0.0002279064,0.005545896,0.8021271,0.001858496,0.0002361326,0.0006808254,0.05253934,0.006668394,0.01617064,0.0011028,0.1125997,0.0002426812],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9502574,0.0002027364,0.00350589,0.001147066,0.0002456983,0.01963827,0.007831407,0.0005325279,0.01663899],"genre_scores_gemma":[0.9267864,0.0008679768,0.01682385,0.000934477,0.0002736153,0.03037174,0.008301758,0.0001835938,0.01545644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01129689,"threshold_uncertainty_score":0.05974436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05403404076202514,"score_gpt":0.3335636889634565,"score_spread":0.2795296482014313,"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."}}