{"id":"W3082556859","doi":"10.1002/mds.28297","title":"Telemedicine in Movement Disorders: Leçons du COVID‐19","year":2020,"lang":"en","type":"article","venue":"Movement Disorders","topic":"Long-Term Effects of COVID-19","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Western Hospital; University of Toronto","funders":"","keywords":"Telemedicine; Social distance; Pandemic; Dilemma; Modalities; Phone; Medicine; Psychology; Medical emergency; Internet privacy; Coronavirus disease 2019 (COVID-19); Public relations; Health care; Disease; Political science; Sociology; Computer science; Infectious disease (medical specialty)","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005111807,0.0005215155,0.0007157042,0.0003235838,0.0001506194,0.0000417138,0.00038647,0.0001466665,0.0015106],"category_scores_gemma":[0.001619876,0.0004787377,0.0002385545,0.0007586714,0.0002181633,0.0001963277,0.0002593411,0.0004398832,0.0001411866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005812767,"about_ca_system_score_gemma":0.0004087172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002018994,"about_ca_topic_score_gemma":0.002464367,"domain_scores_codex":[0.9964329,0.0001289323,0.0007628406,0.0008728229,0.0009635697,0.0008389234],"domain_scores_gemma":[0.9976792,0.0003566887,0.0001838966,0.0006259452,0.0000412497,0.00111302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008932055,0.001549263,0.8543713,0.001451681,0.0002905017,0.0002117032,0.00416503,0.001110626,0.002455397,0.002897458,0.1200333,0.01057048],"study_design_scores_gemma":[0.07345448,0.009627003,0.3889639,0.0008250337,0.0007281023,0.000002257464,0.01262088,0.01253819,0.001121334,0.1038873,0.3932537,0.002977819],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2929603,0.000984746,0.006968934,0.6844046,0.0003867685,0.004623323,0.00003895419,0.0004482977,0.009184075],"genre_scores_gemma":[0.6801208,0.0007767827,0.0003446989,0.3176628,0.0002355212,0.0003077634,0.0001388394,0.00007838331,0.0003344752],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.4654074,"threshold_uncertainty_score":0.9997664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01265656247594426,"score_gpt":0.2814926262119732,"score_spread":0.2688360637360289,"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."}}