{"id":"W4250723005","doi":"10.2196/preprints.20113","title":"A Web Application About Herd Immunity Using Personalized Avatars: Development Study (Preprint)","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bruyère; University of Ottawa; University Health Network; Ottawa Hospital; Institut National de Santé Publique du Québec; University of Manitoba; Toronto General Hospital; Dalhousie University; Université Laval; BC Children's Hospital; University of British Columbia; University of Alberta","funders":"","keywords":"Herd immunity; Population; Visualization; Web application; Computer science; World Wide Web; Psychology; Medicine; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.002263154,0.0006384946,0.0003150531,0.000567183,0.0002961617,0.0008543501,0.0008111298,0.0006517324,0.01687378],"category_scores_gemma":[0.007563155,0.0002534462,0.0004287343,0.0002424903,0.0002241576,0.0009637938,0.0007712635,0.0004354439,0.002960642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000217516,"about_ca_system_score_gemma":0.0003526355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005184463,"about_ca_topic_score_gemma":0.0003951329,"domain_scores_codex":[0.9994488,0.0002961509,0.00003707378,0.00007677214,0.00009308559,0.00004816054],"domain_scores_gemma":[0.9934614,0.00496056,0.0001653614,0.000329306,0.0007208733,0.0003625297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003535575,0.01140722,0.05235797,0.003486702,0.0001729172,0.004241007,0.01853878,0.006378998,0.1016818,0.002949868,0.05752951,0.7377197],"study_design_scores_gemma":[0.003531273,0.03860715,0.2453216,0.001294991,0.0009774959,0.00817355,0.012698,0.1449205,0.1614235,0.005061043,0.3774635,0.0005272657],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8668994,0.0002866797,0.09674613,0.0006394157,0.0002391254,0.004327048,0.002731851,0.01471522,0.01341514],"genre_scores_gemma":[0.712911,0.0005457214,0.2364211,0.0005427335,0.0001333839,0.005500375,0.005774462,0.002358883,0.0358124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01687378,"threshold_uncertainty_score":0.0564484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07185257890862355,"score_gpt":0.354329600752083,"score_spread":0.2824770218434595,"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."}}