{"id":"W6958393629","doi":"10.6084/m9.figshare.14462613","title":"Additional file 1 of Attitudes, behaviours and barriers to public health measures for COVID-19: a survey to inform public health messaging","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"COVID-19 Digital Contact Tracing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Alberta Health Services; University of Alberta; University of Calgary","funders":"","keywords":"Public health; Public health surveillance; Public access; Health promotion; Data collection; MEDLINE","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001836176,0.0007148931,0.000810282,0.001993809,0.001025671,0.001003933,0.001093475,0.0009610073,0.825664],"category_scores_gemma":[0.03076245,0.0004907935,0.0004992523,0.003708192,0.0002141728,0.001472429,0.000981753,0.001018057,0.1620026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00135595,"about_ca_system_score_gemma":0.002155471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01434209,"about_ca_topic_score_gemma":0.01652468,"domain_scores_codex":[0.9991043,0.0002460314,0.0001808195,0.0001520213,0.0001857335,0.0001311196],"domain_scores_gemma":[0.9780286,0.01537129,0.001540567,0.0009580663,0.003492463,0.0006089604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000101595,0.0001123629,0.002357134,0.0007634234,0.00001077003,0.00001360052,0.0001036817,0.0001199469,0.00002356677,0.0004129075,0.9889192,0.007061874],"study_design_scores_gemma":[0.003894793,0.0005452117,0.09218039,0.004416189,0.0001537787,0.0003497734,0.002018938,0.001886219,0.0007125686,0.008193703,0.8854721,0.0001762988],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006131459,0.00001339773,0.0002848412,0.0001825259,0.00002977404,0.0004258015,0.9955119,0.0001333052,0.002805309],"genre_scores_gemma":[0.02095537,0.0002385105,0.005573553,0.001381772,0.0001700385,0.01636087,0.9243092,0.000776552,0.03023416],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.825664,"threshold_uncertainty_score":0.2486692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1866415947826206,"score_gpt":0.3610616495775471,"score_spread":0.1744200547949265,"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."}}