{"id":"W6941734132","doi":"10.1371/journal.pdig.0000092.g002","title":"Rate of virtual visits per 1000 eligible older immigrant patients in Ontario by recency of immigration, 2018–2021.","year":2023,"lang":"en","type":"other","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; New immigrants; MEDLINE; Ethnic group","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":[0.0002546711,0.000256138,0.0002901581,0.0008980134,0.001210473,0.0005668368,0.0008844837,0.0005361644,0.02463789],"category_scores_gemma":[0.002012431,0.0002720768,0.0006131159,0.001911474,0.000313909,0.0004824612,0.0007824073,0.0007160467,0.002671376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006036671,"about_ca_system_score_gemma":0.009523093,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9673922,"about_ca_topic_score_gemma":0.981407,"domain_scores_codex":[0.9996226,0.00001861739,0.00004617429,0.00005357583,0.0001200204,0.0001391172],"domain_scores_gemma":[0.9985984,0.00006458229,0.0004616787,0.0000321683,0.0004292208,0.000413922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004053488,0.0000651583,0.5021982,0.0005270658,0.00006959654,0.0002868572,0.0008615587,0.0004647956,0.0002339028,0.000611231,0.4719958,0.02228053],"study_design_scores_gemma":[0.0001216896,0.00004517383,0.9663157,0.0003198949,0.00005049714,0.0002413181,0.001785521,0.0006290193,0.00005400601,0.000103404,0.03030537,0.00002833243],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.3347889,0.003470115,0.0003243499,0.005584506,0.000334332,0.0002513491,0.5971587,0.00043584,0.05765202],"genre_scores_gemma":[0.8014183,0.004439982,0.0007112774,0.0021322,0.0001986833,0.0004826786,0.1366892,0.0001410147,0.05378668],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03260779,"threshold_uncertainty_score":0.08242202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01089058459034636,"score_gpt":0.2038878134851214,"score_spread":0.192997228894775,"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."}}