{"id":"W2889302587","doi":"10.2196/11802","title":"Automated Patient Navigation Platform Increases Referral Conversion for Surgical Consultations","year":2018,"lang":"en","type":"article","venue":"Iproceedings","topic":"Healthcare Systems and Technology","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Referral; Schedule; Medicine; Medical emergency; Revenue; Operations management; Nursing; Business; Computer science; Finance; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001764055,0.0002184457,0.0002609573,0.0006348901,0.0003924969,0.001051734,0.0004850513,0.0004372792,0.007594651],"category_scores_gemma":[0.02067626,0.0002152702,0.0007606032,0.0004505773,0.0002252644,0.000628164,0.0009372025,0.0006875726,0.0007514929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009346669,"about_ca_system_score_gemma":0.001616135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002888831,"about_ca_topic_score_gemma":0.003761979,"domain_scores_codex":[0.9965036,0.001406164,0.0002979802,0.0003411594,0.001075943,0.0003752472],"domain_scores_gemma":[0.9863006,0.005765016,0.004773296,0.0007081217,0.001038957,0.001414067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00225364,0.006011462,0.7940893,0.0002686638,0.0001884817,0.0003985942,0.0008157142,0.000961225,0.003555921,0.0001155856,0.005220693,0.1861208],"study_design_scores_gemma":[0.0001293709,0.005793974,0.9820558,0.0001186453,0.0001418093,0.0007239702,0.0008649935,0.004258244,0.001707878,0.00009126908,0.004084316,0.00002956319],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956202,0.0002633368,0.0006097005,0.000371745,0.00004666751,0.0001354605,0.0001346489,0.0002073982,0.002610762],"genre_scores_gemma":[0.9975177,0.0001480427,0.001395515,0.0001271726,0.00003670075,0.00005682686,0.0001258347,0.0000197353,0.000572467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007594651,"threshold_uncertainty_score":0.0254066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03122188550940591,"score_gpt":0.2860158026887373,"score_spread":0.2547939171793314,"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."}}