{"id":"W3168864574","doi":"10.2196/30233","title":"Technologies to Support Assessment of Movement During Video Consultations: Exploratory Study","year":2021,"lang":"en","type":"article","venue":"JMIRx Med","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Regional Development Fund; Medical Research Council; National Institute for Health and Care Research; UK Research and Innovation","keywords":"Movement assessment; Movement (music); Computer science; Test (biology); Mobile phone; Multimedia; Rehabilitation; Phone; Tracking (education); Physical medicine and rehabilitation; Match moving; Motion (physics); Medicine; Physical therapy; Psychology; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001803624,0.00008696657,0.0002600323,0.0001844071,0.000037122,0.000008037676,0.00005012876,0.00004445413,0.0001762316],"category_scores_gemma":[0.0006893115,0.00007457541,0.00006543229,0.0003511259,0.00003874275,0.0000480395,0.00006715599,0.00009681846,0.0000190235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001102331,"about_ca_system_score_gemma":0.0002735879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000279155,"about_ca_topic_score_gemma":0.00001754849,"domain_scores_codex":[0.9989626,0.00004439622,0.00033338,0.0002120934,0.0003210647,0.0001264273],"domain_scores_gemma":[0.9990906,0.0001328389,0.0000678467,0.0003152641,0.0003351352,0.0000582912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001545852,0.003875101,0.5609014,0.000571104,0.000493917,0.0002471279,0.007575962,0.00006290889,0.4081524,0.0006791023,0.008324036,0.008962357],"study_design_scores_gemma":[0.00363051,0.001353455,0.7590262,0.000156385,0.00008566809,0.000007855107,0.1207817,0.00001781455,0.1102315,0.0001174385,0.00443988,0.0001516206],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991282,0.00006604962,0.0001144798,0.006168403,0.0001929006,0.0009364075,0.000009997531,0.0001217852,0.001107988],"genre_scores_gemma":[0.9929051,0.00002566811,0.003064426,0.0002906289,0.00001836593,0.0003844104,0.00001033061,0.00001052674,0.003290521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2979209,"threshold_uncertainty_score":0.3041097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02609413212935824,"score_gpt":0.3524254247167086,"score_spread":0.3263312925873503,"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."}}