{"id":"W2009647871","doi":"10.1177/026455050104800210","title":"Implementing Referral Orders: Some Key Issues","year":2001,"lang":"en","type":"article","venue":"Probation Journal","topic":"Healthcare Systems and Technology","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kensington Health","funders":"","keywords":"Key (lock); Referral; Process management; Business; Medical emergency; Medicine; Nursing; Computer science; Computer security","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.1026982,0.0008470858,0.00118397,0.003543796,0.00811996,0.02165812,0.007895383,0.02007851,0.01972412],"category_scores_gemma":[0.226417,0.001246828,0.001600036,0.005191863,0.009233139,0.02713856,0.004457988,0.01509679,0.0033437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01326028,"about_ca_system_score_gemma":0.03823929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01837915,"about_ca_topic_score_gemma":0.04453475,"domain_scores_codex":[0.9219493,0.04246309,0.009107598,0.003257479,0.01623571,0.006986831],"domain_scores_gemma":[0.5830408,0.2656428,0.01444566,0.008556577,0.1043521,0.02396199],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004984527,0.001684621,0.02303003,0.00288093,0.0001546282,0.002800929,0.007899179,0.003999676,0.0005368486,0.2996286,0.2517473,0.4051388],"study_design_scores_gemma":[0.000596837,0.001211227,0.03400395,0.01022694,0.0003590384,0.007243805,0.06133267,0.009405422,0.002552368,0.4028748,0.4695148,0.000678239],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01494573,0.01116284,0.01532104,0.91807,0.003781675,0.0002889641,0.0002097408,0.0002261729,0.03599384],"genre_scores_gemma":[0.5981014,0.03163025,0.09645842,0.2285897,0.01571177,0.001262823,0.0005187267,0.0006187619,0.02710808],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1026982,"threshold_uncertainty_score":0.5431267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04816913603061234,"score_gpt":0.3108559325184984,"score_spread":0.262686796487886,"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."}}