{"id":"W4285410598","doi":"10.2196/37300","title":"Media Data and Vaccine Hesitancy: Scoping Review","year":2022,"lang":"en","type":"article","venue":"JMIR Infodemiology","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Social media; Newspaper; Scopus; Computer science; Sentiment analysis; Digital media; Content analysis; Data science; Psychology; MEDLINE; Medicine; World Wide Web; Advertising; Political science; Social science; Sociology; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.03252498,0.002210947,0.007257358,0.03284773,0.001849051,0.006489164,0.002940826,0.004385173,0.008362696],"category_scores_gemma":[0.1981759,0.001926321,0.008936417,0.02725432,0.002309469,0.006674509,0.004148325,0.002535634,0.000879543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006152987,"about_ca_system_score_gemma":0.02204753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007288678,"about_ca_topic_score_gemma":0.01324525,"domain_scores_codex":[0.9718256,0.01030737,0.0112051,0.001398507,0.004701012,0.0005625033],"domain_scores_gemma":[0.792186,0.1699118,0.02129774,0.002852212,0.01304688,0.0007053411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.000114378,0.00002448557,0.0006190742,0.9273292,0.00286237,0.00009606165,0.0005691948,0.0001073246,0.00008966475,0.0007507601,0.003084268,0.06435314],"study_design_scores_gemma":[0.00002970378,0.00003650573,0.0007210553,0.9737741,0.008311229,0.0001060947,0.0003816062,0.00005825304,0.00008489803,0.0004517672,0.01602706,0.00001773792],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008940788,0.9927004,0.0007951996,0.001224899,0.0005402367,0.001654093,0.0007569059,0.00002149602,0.001412772],"genre_scores_gemma":[0.009414447,0.983898,0.001730016,0.001049695,0.0002895728,0.002939082,0.0004246423,0.00001615318,0.0002384324],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.03284773,"threshold_uncertainty_score":0.1720107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0847877507947652,"score_gpt":0.4058510746574923,"score_spread":0.3210633238627271,"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."}}