{"id":"W4402026926","doi":"10.1080/09638288.2024.2397079","title":"Use of a surgical referral algorithm within a standardized shoulder physical therapy program to assist clinical decision-making","year":2024,"lang":"en","type":"article","venue":"Disability and Rehabilitation","topic":"Shoulder Injury and Treatment","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Bone and Joint Health Institute; University of Alberta","funders":"","keywords":"Referral; Physical therapy; Clinical decision making; Medicine; Rehabilitation; Physical medicine and rehabilitation; Algorithm; Medical physics; Computer science; Nursing; Intensive care medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.006927174,0.0005184302,0.0007697197,0.002305742,0.0005620442,0.00109397,0.0007033072,0.0004664203,0.003305032],"category_scores_gemma":[0.02304028,0.0002841208,0.0004441278,0.001312054,0.0002270213,0.0007970849,0.0009908415,0.0004818215,0.000726847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008320946,"about_ca_system_score_gemma":0.002920741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004038158,"about_ca_topic_score_gemma":0.007749914,"domain_scores_codex":[0.9938998,0.003127041,0.0009780974,0.000785597,0.0008896671,0.0003197559],"domain_scores_gemma":[0.9848619,0.005313777,0.005064542,0.0008152939,0.002610607,0.001333979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001415977,0.001783001,0.778535,0.0004574608,0.0001450101,0.0002551369,0.0007270306,0.001962481,0.001324403,0.0001715213,0.005425639,0.2077972],"study_design_scores_gemma":[0.001161767,0.006139113,0.9456623,0.0007686555,0.0003486341,0.001413671,0.001681535,0.03415992,0.00196101,0.0006134922,0.005975786,0.0001141421],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9681594,0.0009957717,0.01409786,0.00169209,0.0001433349,0.005660371,0.001505716,0.0005090131,0.00723628],"genre_scores_gemma":[0.9551331,0.0005208193,0.04041295,0.000315378,0.000137104,0.001583113,0.001340569,0.00002576451,0.0005312892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006927174,"threshold_uncertainty_score":0.03663486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06537152435779674,"score_gpt":0.4550160349571417,"score_spread":0.3896445105993449,"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."}}