{"id":"W4283712752","doi":"10.3390/jpm12071057","title":"Telemedicine as an Untapped Opportunity for Parkinson’s Nurses Training in Personalized Care Approaches","year":2022,"lang":"en","type":"article","venue":"Journal of Personalized Medicine","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"Agence Nationale de la Recherche; EU Joint Programme – Neurodegenerative Disease Research","keywords":"Medicine; Qualitative research; Nursing; Telemedicine; Medical education; Knowledge management; Health care; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002935279,0.0003912128,0.001547551,0.001100994,0.0003451458,0.00001011139,0.0003017424,0.0001038361,0.003848156],"category_scores_gemma":[0.001275132,0.0003091868,0.0002722775,0.0007136902,0.0003695675,0.0002289506,0.00004174852,0.000990056,0.000001079204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007505828,"about_ca_system_score_gemma":0.002529105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002934132,"about_ca_topic_score_gemma":0.00009325732,"domain_scores_codex":[0.9949972,0.0004309168,0.001729034,0.0004398362,0.001709224,0.0006937621],"domain_scores_gemma":[0.9967002,0.0004138815,0.001117572,0.0002939256,0.0004828018,0.0009915729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.02787619,0.001580401,0.04259919,0.002197959,0.0007843871,0.002339385,0.525979,0.0000428037,0.005944657,0.00538072,0.03279625,0.3524791],"study_design_scores_gemma":[0.03711568,0.01365026,0.006143979,0.0003804543,0.000544733,0.002855266,0.5068757,0.0002268019,0.00008058352,0.0005882921,0.4312964,0.0002418191],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9604627,0.006432373,0.000543595,0.02694588,0.001373406,0.002163611,0.00007003165,0.00005493702,0.001953458],"genre_scores_gemma":[0.9842049,0.0004156939,0.002823981,0.008215381,0.002495735,0.000245108,0.0005963652,0.00008455405,0.0009182734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3985002,"threshold_uncertainty_score":0.999936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1721224972469817,"score_gpt":0.4049842945494094,"score_spread":0.2328617973024277,"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."}}