{"id":"W3084472706","doi":"10.1007/s00520-020-05768-4","title":"Teleprehabilitation during COVID-19 pandemic: the essentials of “what” and “how”","year":2020,"lang":"en","type":"article","venue":"Supportive Care in Cancer","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; McGill University Health Centre; Montreal General Hospital","funders":"","keywords":"Prehabilitation; Medicine; Telehealth; Pandemic; Distress; Modalities; Coronavirus disease 2019 (COVID-19); Isolation (microbiology); Telemedicine; Nursing; Hotline; Health care; Pain medicine; Physical therapy; Psychiatry; Disease; Clinical psychology; Anesthesiology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.02095714,0.0004573356,0.0007667069,0.0007114161,0.003876413,0.007667997,0.001514778,0.003469083,0.006112364],"category_scores_gemma":[0.05175446,0.0004451507,0.000793919,0.0007082354,0.007076281,0.01278125,0.005820244,0.0111218,0.0004124388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006407511,"about_ca_system_score_gemma":0.03953404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01436217,"about_ca_topic_score_gemma":0.03067783,"domain_scores_codex":[0.9836964,0.01065084,0.0007154054,0.0006220739,0.00152116,0.002793989],"domain_scores_gemma":[0.9621512,0.02396649,0.002659447,0.001217714,0.003477016,0.006528009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005143612,0.001387964,0.04858245,0.006430733,0.0002846989,0.0006405551,0.03787663,0.001398517,0.001779428,0.08910774,0.06481343,0.7471836],"study_design_scores_gemma":[0.0003315116,0.001834667,0.1494773,0.05087934,0.0006111729,0.001153473,0.2480952,0.005783565,0.004077698,0.1798045,0.3574454,0.0005060534],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0514899,0.02353434,0.005103002,0.8843818,0.003391342,0.0002575584,0.0001890165,0.00007955993,0.03157348],"genre_scores_gemma":[0.8753149,0.03248824,0.00950389,0.07749004,0.002616799,0.0006168192,0.0001409096,0.00006499597,0.00176349],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02095714,"threshold_uncertainty_score":0.1108333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06681384575933917,"score_gpt":0.4217643696467252,"score_spread":0.354950523887386,"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."}}