{"id":"W2534496716","doi":"10.1503/cmaj.109-5306","title":"Forming trust with vaccine fence-sitters","year":2016,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fence (mathematics); Focus (optics); Investment (military); Vaccination; Computer science; Internet privacy; Medicine; Public relations; Virology; Political science; Engineering","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":[0.02982405,0.00055082,0.0007110752,0.00120622,0.0163789,0.01003014,0.001478813,0.005938285,0.01673986],"category_scores_gemma":[0.08878008,0.0007615206,0.0007513425,0.0006727458,0.009656713,0.01107613,0.01186832,0.01274248,0.002555917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01086478,"about_ca_system_score_gemma":0.01998467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02478678,"about_ca_topic_score_gemma":0.02781552,"domain_scores_codex":[0.9622783,0.02079516,0.001001921,0.002006948,0.005977386,0.007940283],"domain_scores_gemma":[0.9157109,0.02008118,0.007989737,0.005192267,0.01575024,0.03527565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003595168,0.0005410702,0.07040238,0.0002780056,0.0003405993,0.004579107,0.164371,0.0007673913,0.001829369,0.2067053,0.4107071,0.1391193],"study_design_scores_gemma":[0.0001933537,0.000658322,0.02142748,0.001093534,0.0001636727,0.0019355,0.1313165,0.003151549,0.001953178,0.09928267,0.7385176,0.0003066427],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1614116,0.002321462,0.0198854,0.6175236,0.006253797,0.0003924523,0.0001265202,0.0003509536,0.1917343],"genre_scores_gemma":[0.9309013,0.0005494559,0.002578922,0.04517484,0.0005809677,0.00009128994,0.00005291797,0.000104318,0.01996602],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02982405,"threshold_uncertainty_score":0.1577265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007586533208370562,"score_gpt":0.2387921947731899,"score_spread":0.2312056615648194,"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."}}