{"id":"W3199772412","doi":"10.33137/cpoj.v4i2.35958","title":"VALUE AND APPLICABILITY OF LARGE ADMINISTRATIVE HEALTHCARE DATABASES IN PROSTHETICS AND ORTHOTICS OUTCOMES RESEARCH","year":2021,"lang":"en","type":"article","venue":"Canadian Prosthetics & Orthotics Journal","topic":"Prosthetics and Rehabilitation Robotics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Orthotics; Value (mathematics); Health care; Medicine; Database; Computer science; Physical medicine and rehabilitation; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.3510247,0.0009014593,0.001686308,0.0162816,0.001782787,0.01431771,0.004450382,0.003954309,0.003899184],"category_scores_gemma":[0.6577223,0.001113619,0.002375934,0.03213155,0.003999997,0.01389494,0.01120623,0.00466381,0.0008840026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006837898,"about_ca_system_score_gemma":0.01224089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01061632,"about_ca_topic_score_gemma":0.0117271,"domain_scores_codex":[0.4628257,0.4354934,0.03623437,0.009593407,0.05368353,0.00216964],"domain_scores_gemma":[0.1318969,0.7470973,0.0422084,0.04031539,0.03524929,0.003232827],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001495819,0.0003881256,0.5062883,0.008521891,0.004660615,0.0005332204,0.003926761,0.004952695,0.0002676671,0.05200584,0.04600086,0.3709582],"study_design_scores_gemma":[0.001131706,0.001384495,0.4102606,0.05922839,0.006754822,0.002245619,0.01970379,0.03710598,0.002074927,0.2506713,0.2086713,0.0007669659],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2385458,0.1384078,0.08388451,0.375942,0.005549016,0.005538833,0.07120689,0.0004283129,0.08049681],"genre_scores_gemma":[0.820852,0.03096389,0.1009343,0.01889271,0.004298494,0.003729916,0.01913059,0.0001404735,0.001057639],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6489753,"threshold_uncertainty_score":0.800302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05310746241930164,"score_gpt":0.3700007123642543,"score_spread":0.3168932499449527,"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."}}