{"id":"W3003416236","doi":"","title":"CERVICAL SPINAL CORD INJURY AND UPPER LIMB ROBOTIC THERAPY","year":2019,"lang":"en","type":"dissertation","venue":"The Sydney eScholarship Repository (The University of Sydney)","topic":"Sports injuries and prevention","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Spinal cord injury; Medicine; Physical medicine and rehabilitation; Spinal cord; Surgery","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003483828,0.0001449123,0.0002675466,0.0004030658,0.000569606,0.0006738655,0.0003219733,0.0003760452,0.0178561],"category_scores_gemma":[0.002166697,0.00007227984,0.0001623646,0.0004019178,0.000434376,0.0002206493,0.0004918097,0.0003941235,0.0007189316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00101711,"about_ca_system_score_gemma":0.001523825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009826023,"about_ca_topic_score_gemma":0.01295136,"domain_scores_codex":[0.9996626,0.0001123038,0.00002500322,0.00003483245,0.0001034377,0.00006172742],"domain_scores_gemma":[0.999176,0.0003020972,0.0002644208,0.00001687827,0.0001088025,0.0001319137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001679995,0.004275551,0.7273697,0.002276386,0.0001720621,0.004474733,0.003779681,0.0004033478,0.003016537,0.001467338,0.005025074,0.2460596],"study_design_scores_gemma":[0.00005784247,0.00347203,0.986465,0.0004045122,0.00006789171,0.002688755,0.001623533,0.000221926,0.0004522392,0.0002892256,0.004245222,0.00001192175],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9714769,0.00513807,0.0001033833,0.0008164331,0.00004270303,0.00009637769,0.0001008751,0.000007592529,0.02221757],"genre_scores_gemma":[0.9925424,0.001786413,0.000155135,0.0001142394,0.0000230698,0.00007984752,0.00006410369,0.000001042844,0.005233758],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0178561,"threshold_uncertainty_score":0.05973458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01544769434811064,"score_gpt":0.2633480178112925,"score_spread":0.2479003234631819,"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."}}