{"id":"W4376460775","doi":"10.1007/978-3-031-29937-7_4","title":"Concern for Self-Health During the COVID-19 Pandemic in Canada: How to Tell an Intersectional Story Using Quantitative Data?","year":2023,"lang":"en","type":"book-chapter","venue":"Studies in big data","topic":"LGBTQ Health, Identity, and Policy","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); History; Virology; Medicine; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001924626,0.0003385664,0.0006524478,0.0003731307,0.0005163545,0.00002673056,0.001678915,0.0001530102,0.00002139341],"category_scores_gemma":[0.0007046414,0.0003044222,0.00003027546,0.0001426834,0.0002242925,0.000167305,0.001840553,0.0007812661,0.00002136825],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004718032,"about_ca_system_score_gemma":0.004798031,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8811259,"about_ca_topic_score_gemma":0.9973527,"domain_scores_codex":[0.9971252,0.000294278,0.0005382348,0.001131225,0.0003050667,0.0006059877],"domain_scores_gemma":[0.9960693,0.001276845,0.0003715095,0.001998613,0.00008427842,0.0001994643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004067123,0.00006132485,0.03754234,0.004857854,0.001210674,0.0001547553,0.03732588,0.00006820671,9.013891e-7,0.01047868,0.9056766,0.002216085],"study_design_scores_gemma":[0.001587505,0.0002050129,0.01188043,0.0002641905,0.0001366124,0.00005959925,0.02826582,0.0001132177,1.743514e-8,0.001446015,0.9553407,0.0007008488],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.08180105,0.1118644,0.001641752,0.1552645,0.1426405,0.02451364,0.4538647,0.001112488,0.02729698],"genre_scores_gemma":[0.1142765,0.1412814,0.00467252,0.1075603,0.04019235,0.00156315,0.04608505,0.002188741,0.54218],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.514883,"threshold_uncertainty_score":0.9999408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7198829861901465,"score_gpt":0.5319412744123856,"score_spread":0.1879417117777609,"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."}}