{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00177222,0.0002905348,0.0005375398,0.000438325,0.000309374,0.0001340761,0.0001839264,0.0001741453,0.00001689448],"category_scores_gemma":[0.0005816471,0.0002856434,0.00007681799,0.0005885033,0.0005016188,0.0001150502,0.0001080714,0.001209298,0.000001959847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002552858,"about_ca_system_score_gemma":0.001370533,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002848486,"about_ca_topic_score_gemma":0.02793307,"domain_scores_codex":[0.9971013,0.0002980413,0.0008613348,0.0003735925,0.000499899,0.0008658437],"domain_scores_gemma":[0.9972972,0.0003496729,0.0001068677,0.0004958133,0.0008277287,0.0009227083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003820406,0.0004592694,0.8577527,0.001604334,0.0001322796,0.0007378428,0.009440757,0.005904826,0.0006279325,0.1164463,0.0002227527,0.006632763],"study_design_scores_gemma":[0.008936401,0.002279684,0.7228392,0.002510334,0.0003535674,0.005777144,0.0380594,0.07193408,0.01008618,0.07688378,0.05621614,0.004124089],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892142,0.004260409,0.0008040708,0.003396182,0.0003224641,0.0008129278,0.0006730987,0.00003158502,0.0004850326],"genre_scores_gemma":[0.9874085,0.001577944,0.01067332,0.0001418423,0.00003114202,0.00001289698,0.00003283121,0.00006094412,0.00006063835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1349135,"threshold_uncertainty_score":0.9999596,"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."}}