{"id":"W4387609427","doi":"10.2196/50791","title":"Correction: Uncovering Important Drivers of the Increase in the Use of Virtual Care Technologies in Nursing Care: Quantitative Analysis From the 2020 National Survey of Canadian Nurses","year":2023,"lang":"en","type":"erratum","venue":"JMIR Nursing","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Health Infoway","funders":"Government of Canada","keywords":"Nursing; Nursing care; Data science; Psychology; Medicine; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.01348512,0.003218151,0.002556712,0.005270313,0.005957267,0.005767215,0.005293849,0.008312952,0.06105812],"category_scores_gemma":[0.2402737,0.001557605,0.002479701,0.006350306,0.003790975,0.002642877,0.003168028,0.01271207,0.02094267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0106446,"about_ca_system_score_gemma":0.03295171,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.269198,"about_ca_topic_score_gemma":0.2443289,"domain_scores_codex":[0.9839872,0.002362072,0.002950776,0.001675629,0.007634853,0.001389392],"domain_scores_gemma":[0.8583234,0.03722625,0.006053388,0.005595295,0.08832685,0.004474904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00001773466,0.000004036197,0.0001633975,0.0001170625,0.00001195344,0.00009326096,0.00007380681,0.0000268312,0.00001241959,0.0002968299,0.9973338,0.001848952],"study_design_scores_gemma":[0.0001669997,0.00004181392,0.004919039,0.002360296,0.0001336048,0.0005352768,0.0009036226,0.0007274941,0.0003355649,0.001763929,0.9879208,0.0001916161],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0003556232,0.0006820906,0.0007506647,0.1154625,0.8716875,0.00007116894,0.008222728,0.0004619369,0.002305709],"genre_scores_gemma":[0.04881239,0.01188766,0.01429172,0.3247809,0.3473633,0.001629838,0.01820505,0.004657519,0.2283717],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7308019,"threshold_uncertainty_score":0.5352622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05809404206020258,"score_gpt":0.3760965072133879,"score_spread":0.3180024651531854,"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."}}