{"id":"W4307012480","doi":"10.2196/preprints.43652","title":"Decisions and Decisional Needs of Canadians From all Provinces and Territories During the COVID-19 Pandemic: Population-Based Cross-sectional Surveys (Preprint)","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Regret; Context (archaeology); Checklist; Scale (ratio); Psychology; Population; Cross-sectional study; Decision aids; Preprint; Family medicine; Medicine; Environmental health; Geography; Alternative medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001571115,0.0002749062,0.0003524325,0.0015989,0.003080719,0.0014541,0.0009774915,0.0007826772,0.002337405],"category_scores_gemma":[0.00441554,0.0004918456,0.00071699,0.00414549,0.0007344899,0.0008203838,0.001120122,0.0009955348,0.0003145813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01265923,"about_ca_system_score_gemma":0.01692936,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9706097,"about_ca_topic_score_gemma":0.9749931,"domain_scores_codex":[0.9985027,0.0001566685,0.0001544901,0.0001841406,0.0005218624,0.0004801142],"domain_scores_gemma":[0.9971934,0.00028022,0.0008974033,0.00009405019,0.0008798131,0.0006551457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005836995,0.00009352467,0.9871612,0.00009963789,0.00005390302,0.00005510105,0.004962527,0.00007419997,0.00008233744,0.000086574,0.003089848,0.00418272],"study_design_scores_gemma":[0.00000823113,0.00004708302,0.991589,0.00005074223,0.00001214595,0.00004010135,0.006755027,0.0001097806,0.0000258081,0.00002134722,0.001322257,0.00001842481],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876738,0.000210039,0.00005858484,0.0005090131,0.000008419213,0.0001588379,0.009417179,0.000006316299,0.001957808],"genre_scores_gemma":[0.9938049,0.0003616497,0.0003741176,0.0005097744,0.00001210184,0.0001676429,0.004047194,0.000004890017,0.0007176809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02939028,"threshold_uncertainty_score":0.09184963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2597830050555234,"score_gpt":0.4540092683949684,"score_spread":0.194226263339445,"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."}}