{"id":"W4388706075","doi":"10.46292/sci23-00015s","title":"Designing an Egocentric Video-Based Dashboard to Report Hand Performance Measures for Outpatient Rehabilitation of Cervical Spinal Cord Injury","year":2023,"lang":"en","type":"article","venue":"Topics in Spinal Cord Injury Rehabilitation","topic":"Spinal Cord Injury Research","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre; Toronto Rehabilitation Institute; University of Toronto; Health Sciences Centre; University Health Network","funders":"Craig H. Neilsen Foundation","keywords":"Dashboard; Medicine; Fidelity; Context (archaeology); Rehabilitation; Wearable computer; Process (computing); Human–computer interaction; Computer science; Data science; Physical therapy","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":[0.01115117,0.001252091,0.0004735409,0.001554451,0.0005874668,0.002302901,0.001814135,0.001148942,0.002787917],"category_scores_gemma":[0.03800241,0.0005251765,0.0007453258,0.0008458651,0.0005649495,0.002766646,0.001559988,0.000778334,0.0008134585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005972141,"about_ca_system_score_gemma":0.001446403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001034982,"about_ca_topic_score_gemma":0.001749523,"domain_scores_codex":[0.9945246,0.003392582,0.0005896646,0.000478502,0.000733252,0.0002813827],"domain_scores_gemma":[0.9805278,0.01186378,0.001351677,0.001498215,0.0039268,0.0008317207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001894225,0.002488791,0.0584933,0.004486226,0.0002764458,0.001627945,0.02625076,0.005592067,0.03428781,0.001816871,0.01597714,0.8468084],"study_design_scores_gemma":[0.002755838,0.03728326,0.2616524,0.01070817,0.002028681,0.00941261,0.08673455,0.1836786,0.1309759,0.01099879,0.2620068,0.001764508],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6295591,0.0005156441,0.3411727,0.001924778,0.0004459061,0.006405183,0.001881705,0.01101407,0.007080888],"genre_scores_gemma":[0.4740137,0.0005484894,0.516684,0.0003053683,0.00006621212,0.004100483,0.001603046,0.0003127017,0.002366048],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01115117,"threshold_uncertainty_score":0.05897373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07497848055338562,"score_gpt":0.4191695605916332,"score_spread":0.3441910800382476,"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."}}