{"id":"W3164751869","doi":"10.33137/ijournal.v6i2.36452","title":"The Information Infrastructure of Search Engines: A Content Analysis of Covid-19 Immunization Information Online","year":2021,"lang":"en","type":"article","venue":"The iJournal Student Journal of the Faculty of Information","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Credibility; Immunization; 2019-20 coronavirus outbreak; Business; Public relations; Political science; Computer science; Outbreak; Virology; Medicine; Infectious disease (medical specialty)","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.003980678,0.0002307963,0.0003917381,0.01022938,0.000926056,0.004399413,0.0004833574,0.0006637071,0.002561375],"category_scores_gemma":[0.04979059,0.0002062142,0.0004597481,0.01241611,0.001235011,0.006739235,0.001635388,0.0007597799,0.0003996169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002077507,"about_ca_system_score_gemma":0.002190575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009073433,"about_ca_topic_score_gemma":0.008163234,"domain_scores_codex":[0.9971732,0.001320611,0.0003336853,0.0001571711,0.0007591987,0.0002561408],"domain_scores_gemma":[0.9034451,0.07848373,0.008817008,0.001530745,0.006529992,0.001193378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.000899312,0.0009585758,0.6927134,0.003105261,0.000440377,0.0009519273,0.1669081,0.0009614396,0.004125918,0.009923341,0.004461722,0.1145508],"study_design_scores_gemma":[0.00004783241,0.0003652738,0.8469993,0.0009667929,0.0004308254,0.0004963949,0.1231826,0.005174078,0.001518115,0.003008539,0.01772424,0.00008592666],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892641,0.0004756169,0.000429788,0.0005995232,0.000007659584,0.0001283956,0.0008900051,0.00002098143,0.008184057],"genre_scores_gemma":[0.9956535,0.0006393215,0.001023937,0.0001472032,0.00002907864,0.00007903836,0.001346459,0.00003583542,0.001045679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9956006,"threshold_uncertainty_score":0.02105212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04980781130311759,"score_gpt":0.3721326941821217,"score_spread":0.3223248828790041,"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."}}