{"id":"W3153858974","doi":"10.1055/s-0041-1726489","title":"Primary Care Informatics Response to Covid-19 Pandemic: Adaptation, Progress, and Lessons from Four Countries with High ICT Development","year":2021,"lang":"en","type":"article","venue":"Yearbook of Medical Informatics","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Family Medicine; Western University; MacEwan University","funders":"","keywords":"Telehealth; Informatics; Telemedicine; Health informatics; Health care; Medicine; Business; The Internet; Political science; Public relations; Nursing; Public health; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0008033156,0.0001680873,0.0004215883,0.0001492579,0.0001078723,0.00002763782,0.0001103464,0.0001481422,0.0001897251],"category_scores_gemma":[0.0006406084,0.0001298773,0.00002165444,0.0002191715,0.0001903225,0.0001689634,0.0001174628,0.0002450332,0.00001601496],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002655087,"about_ca_system_score_gemma":0.006037491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001003566,"about_ca_topic_score_gemma":0.0001965265,"domain_scores_codex":[0.9969546,0.0000553055,0.001074342,0.00009520276,0.0015502,0.0002703944],"domain_scores_gemma":[0.9979212,0.0003898784,0.0003096791,0.0002382176,0.0003792001,0.0007618795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005340688,0.0002281177,0.2288034,0.01349056,0.0006446604,0.0003288749,0.4003975,0.00007598069,0.00004270722,0.001408885,0.01482316,0.3344154],"study_design_scores_gemma":[0.01460333,0.001448966,0.1484198,0.002477124,0.0003245186,0.0004943425,0.09895036,0.0009872413,0.0008880102,0.00008656491,0.7308093,0.0005105353],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9726709,0.0004108516,0.0165639,0.009190911,0.00007637,0.0006882412,0.00007802586,0.00008238108,0.0002384016],"genre_scores_gemma":[0.7159372,0.0006088237,0.2455756,0.03589569,0.0001741239,0.0001231759,0.001520503,0.0000363734,0.0001285613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7159861,"threshold_uncertainty_score":0.9995974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05949604168272626,"score_gpt":0.3604227937156191,"score_spread":0.3009267520328929,"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."}}