{"id":"W3199287434","doi":"10.1111/jep.13617","title":"Exploring the impact of diagnostic imaging decision support embedded in an electronic referral solution on the appropriate ordering of magnetic resonance imaging for patients with knee pain: a retrospective chart review","year":2021,"lang":"en","type":"article","venue":"Journal of Evaluation in Clinical Practice","topic":"Radiology practices and education","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Grand River Hospital; University Health Network; McMaster University; Centre for Family Medicine","funders":"","keywords":"Medicine; Referral; Magnetic resonance imaging; Medical record; Knee pain; Medical diagnosis; Medical imaging; Chart; Retrospective cohort study; Radiology; Radiography; Medical physics; Surgery; Osteoarthritis; Family 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":[0.004130813,0.0001579956,0.0003249925,0.003389705,0.0007105898,0.001099977,0.0004686105,0.0002921798,0.001274563],"category_scores_gemma":[0.02023916,0.0003367198,0.0006412085,0.003775154,0.0004909491,0.0007610988,0.0006316409,0.0004872348,0.0001743205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003047585,"about_ca_system_score_gemma":0.00414523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02703441,"about_ca_topic_score_gemma":0.03176739,"domain_scores_codex":[0.9955795,0.001150098,0.001237647,0.00045059,0.001277273,0.0003049249],"domain_scores_gemma":[0.9441177,0.01957059,0.02694697,0.00111481,0.006984036,0.00126594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009143083,0.00005654521,0.9924488,0.0002756649,0.00004660367,0.0003509544,0.00086123,0.00004939229,0.00009772149,0.00004281731,0.0003937023,0.005285138],"study_design_scores_gemma":[0.00001863851,0.0003942114,0.9907665,0.0004118011,0.0001366268,0.001112942,0.004360418,0.000271964,0.0003088988,0.00001645618,0.002178512,0.00002293936],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993024,0.002652852,0.0002993167,0.0001554867,0.00001407746,0.0003968502,0.002098003,0.00001154432,0.001347968],"genre_scores_gemma":[0.9963528,0.001518589,0.0007193561,0.0001015127,0.00001384372,0.0001560121,0.0009712938,0.000006107725,0.0001604329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02703441,"threshold_uncertainty_score":0.05375409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1369205486358275,"score_gpt":0.4729088622596427,"score_spread":0.3359883136238152,"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."}}