{"id":"W6942114919","doi":"10.1371/journal.pdig.0000092.s001","title":"Descriptions of virtual care billing codes.","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Pandemic; Health care; Refugee; Coronavirus disease 2019 (COVID-19); Older people; New immigrants","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":[0.001307339,0.0006440835,0.0002714803,0.005530036,0.0009853715,0.001192157,0.0009801002,0.000663513,0.08803028],"category_scores_gemma":[0.01163312,0.0003169342,0.0005694938,0.008072122,0.0004549125,0.0009217743,0.001091488,0.0007993387,0.02139108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003958081,"about_ca_system_score_gemma":0.008731857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2607672,"about_ca_topic_score_gemma":0.2888108,"domain_scores_codex":[0.9982969,0.0003008988,0.0004114679,0.000129647,0.0005678814,0.0002931106],"domain_scores_gemma":[0.9890771,0.003019395,0.002052499,0.0005666798,0.004574468,0.0007098964],"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":[0.0002057788,0.00004374043,0.01931491,0.0009921355,0.00001221353,0.0002629575,0.0009481087,0.0006206708,0.0003976648,0.01333089,0.884988,0.0788829],"study_design_scores_gemma":[0.00002559172,0.00002228657,0.01889189,0.0004694898,0.000005694807,0.0002913695,0.0006844733,0.0005050799,0.0001663505,0.001705067,0.9772046,0.00002805784],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.01284621,0.002775627,0.007076027,0.004178124,0.001090569,0.001129988,0.7931611,0.002206775,0.1755356],"genre_scores_gemma":[0.09799093,0.007609036,0.03407295,0.006591984,0.0005474614,0.002678055,0.7440739,0.001954512,0.1044812],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2607672,"threshold_uncertainty_score":0.5184987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0467822080186734,"score_gpt":0.2334608267890356,"score_spread":0.1866786187703622,"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."}}