{"id":"W3194078467","doi":"10.7939/r3-mf4g-gg62","title":"Exploring the Outcomes of Digital Inclusion for Vulnerable Populations in Canada during the COVID-19 Pandemic","year":2021,"lang":"en","type":"article","venue":"University of Alberta Library","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Inclusion (mineral); Virology; Geography; Medicine; Outbreak; Disease; Sociology; Infectious disease (medical specialty); Social science","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":[0.003301669,0.0003156962,0.000644277,0.002027793,0.02064853,0.01093396,0.002270151,0.001545428,0.007232949],"category_scores_gemma":[0.01690193,0.0003626217,0.0006769964,0.004592523,0.005708491,0.003454264,0.0104737,0.004660765,0.0006279952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09773459,"about_ca_system_score_gemma":0.1555114,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9903199,"about_ca_topic_score_gemma":0.9950901,"domain_scores_codex":[0.9935141,0.0007108213,0.000176546,0.0002499507,0.001408891,0.003939697],"domain_scores_gemma":[0.986159,0.001003436,0.001408815,0.0003214437,0.005025898,0.006081354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005917199,0.0007070586,0.6061568,0.0002162215,0.00009943789,0.000786958,0.2705794,0.0003659539,0.0002349321,0.008525083,0.04052791,0.0712086],"study_design_scores_gemma":[0.00001993089,0.00008011266,0.4977916,0.0004714784,0.00004594467,0.0001248101,0.4757431,0.0002451405,0.0001338749,0.0009677943,0.02430391,0.00007234484],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9485446,0.0008790364,0.00008572613,0.02034472,0.0001458502,0.0001386789,0.001846038,0.00001848332,0.02799674],"genre_scores_gemma":[0.9928997,0.0007092594,0.0001074402,0.001564767,0.0000269267,0.00005409025,0.0004716753,0.0000193516,0.00414687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09773459,"threshold_uncertainty_score":0.7091174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1325389629434227,"score_gpt":0.3191140322052928,"score_spread":0.1865750692618701,"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."}}