{"id":"W4365788576","doi":"10.46692/9781447359739.009","title":"Older adults’ access to information and referral services using technology in British Columbia, Canada: past learnings and learnings since COVID-19","year":2021,"lang":"en","type":"other","venue":"","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Referral; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Library science; Medicine; Geography; Family medicine; Virology; Computer science; Infectious disease (medical specialty)","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":[0.003451089,0.0003231708,0.001009616,0.00395116,0.01203873,0.007632427,0.001891304,0.001282874,0.004616081],"category_scores_gemma":[0.008890885,0.0006122374,0.0004049508,0.01506342,0.004344054,0.003289276,0.002729798,0.00266578,0.0004569564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08794763,"about_ca_system_score_gemma":0.2093067,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9958881,"about_ca_topic_score_gemma":0.9983328,"domain_scores_codex":[0.9967615,0.0003671179,0.0002405846,0.000283419,0.001287273,0.00106],"domain_scores_gemma":[0.9855148,0.002754627,0.001086613,0.0001760178,0.007268291,0.003199748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001571891,0.0002541789,0.1473611,0.008610862,0.00009059071,0.002169788,0.5545289,0.0002094281,0.0005202601,0.005371516,0.03513509,0.2455911],"study_design_scores_gemma":[0.000009947955,0.00008311713,0.3371327,0.01014456,0.00009439573,0.0003685598,0.5520477,0.0001119649,0.0001917648,0.000242837,0.09945071,0.0001216991],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7961301,0.1258444,0.0002956607,0.03138059,0.0002814505,0.000252153,0.003767263,0.00004919354,0.04199927],"genre_scores_gemma":[0.8808026,0.1015175,0.0007223285,0.00293864,0.00005225583,0.0001530002,0.001084277,0.00002226845,0.01270706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08794763,"threshold_uncertainty_score":0.6381077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01186340935587495,"score_gpt":0.2851173361956122,"score_spread":0.2732539268397373,"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."}}