{"id":"W4389461126","doi":"10.1212/wnl.94.15_supplement.5190","title":"Estimating Digital Therapy Progress Using Large-Scale Speech and Cognitive Rehabilitation Data (5190)","year":2020,"lang":"en","type":"article","venue":"Neurology","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Learning Partnership","funders":"","keywords":"Scale (ratio); Rehabilitation; Cognition; Medicine; Physical medicine and rehabilitation; Psychology; Physical therapy; Neuroscience; Cartography; Geography","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":[0.001864939,0.0004434942,0.000427764,0.001622724,0.0002461195,0.0006578398,0.0004148653,0.0005748434,0.001467441],"category_scores_gemma":[0.01033871,0.0001777009,0.0006797545,0.001782135,0.0001173588,0.0006779533,0.00073328,0.000559986,0.000906586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005005186,"about_ca_system_score_gemma":0.000702501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01466628,"about_ca_topic_score_gemma":0.02039557,"domain_scores_codex":[0.9990915,0.000285081,0.0001810595,0.0001912321,0.0001832767,0.00006790079],"domain_scores_gemma":[0.9935744,0.002524152,0.001663368,0.0007682027,0.001147819,0.0003218972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008579715,0.0009447638,0.9051108,0.0003302697,0.0007051171,0.00008949584,0.0002177489,0.01099596,0.001117209,0.0002467884,0.005058613,0.07432534],"study_design_scores_gemma":[0.0001132578,0.0007315627,0.9484907,0.00009874692,0.000294719,0.0001539888,0.0003607023,0.04298124,0.001994203,0.0003916699,0.004352913,0.00003631983],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9560344,0.0005790282,0.007267453,0.0002694085,0.00003939202,0.000275921,0.03278939,0.000170919,0.00257414],"genre_scores_gemma":[0.9555405,0.0002664365,0.009217182,0.00008136252,0.00002612277,0.0002904956,0.03363392,0.00001667291,0.0009272838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01466628,"threshold_uncertainty_score":0.02916187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07032113614306185,"score_gpt":0.388657162030908,"score_spread":0.3183360258878462,"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."}}