{"id":"W1830277718","doi":"10.5014/ajot.2015.016170","title":"Managing Poststroke Fatigue Using Telehealth: A Case Report","year":2015,"lang":"en","type":"article","venue":"American Journal of Occupational Therapy","topic":"Occupational Therapy Practice and Research","field":"Health Professions","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Telehealth; Physical therapy; Occupational therapy; Medicine; Telemedicine; Psychology; Physical medicine and rehabilitation; Health care","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003709143,0.0001854116,0.0004405277,0.0004500977,0.0005404289,0.00002564347,0.000245562,0.00007360638,0.0002317621],"category_scores_gemma":[0.0005822781,0.0001430322,0.0001475477,0.0006379758,0.0001685116,0.0005566096,0.00004229008,0.0008950247,0.00002991149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000431117,"about_ca_system_score_gemma":0.003224718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001055828,"about_ca_topic_score_gemma":0.00002315984,"domain_scores_codex":[0.9958081,0.001235549,0.001198852,0.0002054817,0.001091842,0.000460152],"domain_scores_gemma":[0.9939195,0.001134138,0.002068315,0.000275273,0.002142589,0.0004602204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"case_report","study_design_scores_codex":[0.02523718,0.0009728536,0.5992666,0.00006910376,0.001165477,0.05718378,0.01237562,0.003972101,0.001820337,0.001860128,0.01229593,0.2837809],"study_design_scores_gemma":[0.02679268,0.01414639,0.1496987,0.001197166,0.0002396749,0.3506044,0.1284833,0.007115907,0.0006364859,0.01314364,0.305574,0.002367721],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9805358,0.0004939671,0.01375154,0.003036109,0.0007765254,0.0003490143,0.00001735669,0.00002189283,0.00101777],"genre_scores_gemma":[0.9777031,0.0003447843,0.01790911,0.002155998,0.00147056,0.00001236986,0.00001480663,0.00004348558,0.0003457781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4495679,"threshold_uncertainty_score":0.5832683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4390308396512557,"score_gpt":0.5682347151917182,"score_spread":0.1292038755404625,"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."}}