{"id":"W4280622818","doi":"10.5334/ijic.icic21277","title":"Improving Access to Primary Care in Toronto’s Community Housing Buildings for Seniors during the COVID 19 Pandemic","year":2022,"lang":"en","type":"article","venue":"International Journal of Integrated Care","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Primary care; Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Library science; Computer science; Medicine; Family 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008479987,0.0003183629,0.0002598107,0.0004490362,0.003346099,0.002018006,0.001123539,0.0008660628,0.007194251],"category_scores_gemma":[0.004465233,0.0002890796,0.0003884749,0.0007745129,0.0009041061,0.0009719205,0.003321548,0.001317353,0.0004670746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01542326,"about_ca_system_score_gemma":0.03128706,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8608728,"about_ca_topic_score_gemma":0.9521166,"domain_scores_codex":[0.9987819,0.0001947069,0.00004371359,0.000077678,0.000188281,0.0007137668],"domain_scores_gemma":[0.996546,0.0001189358,0.0002216473,0.00004425204,0.0003767153,0.002692427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007427909,0.001227795,0.7244942,0.0008826401,0.0001709545,0.001607968,0.0379007,0.000657602,0.002011684,0.00110108,0.08334734,0.1458553],"study_design_scores_gemma":[0.00003520727,0.0003723592,0.9739118,0.0003002761,0.00002895149,0.00007963699,0.0180432,0.0002456927,0.00007675768,0.00009171329,0.006791562,0.00002281982],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9700931,0.002245638,0.0001951613,0.01523913,0.000355562,0.0002156128,0.001866683,0.00005156656,0.009737607],"genre_scores_gemma":[0.9935959,0.001210454,0.0003996576,0.001240908,0.00009135816,0.0000841968,0.0006985597,0.00001245735,0.002666622],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8608728,"threshold_uncertainty_score":0.279893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04177954754405787,"score_gpt":0.4083712614031831,"score_spread":0.3665917138591253,"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."}}