{"id":"W2058140704","doi":"10.1007/s10916-007-9105-9","title":"A Co-payment for Consultant Services: Primary Care Physicians’ Referral Actualization","year":2007,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Healthcare Systems and Technology","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Institutes of Health; Israel National Institute for Health Policy Research","keywords":"Payment; Copayment; Referral; Family medicine; Prospective payment system; Medicine; Primary care; Quarter (Canadian coin); Medical emergency; Nursing; Health care; Health insurance; Business; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002448389,0.0001356265,0.0004600845,0.0002430452,0.0001166348,0.00009569575,0.0003513534,0.0002902697,0.00002122842],"category_scores_gemma":[0.0001546874,0.00009970663,0.000108573,0.0002499874,0.00003989096,0.0003031996,0.00003076395,0.0002442033,0.00001488006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000186173,"about_ca_system_score_gemma":0.0001279042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008701457,"about_ca_topic_score_gemma":0.0001808839,"domain_scores_codex":[0.9974025,0.00002165831,0.001023893,0.0001398072,0.001084685,0.0003274144],"domain_scores_gemma":[0.997988,0.0001023576,0.001000961,0.0001357862,0.0007189928,0.00005387054],"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":[0.001338886,0.0009695498,0.05626907,0.08541968,0.0009520654,0.001081676,0.005036597,0.00006520588,0.003718203,0.1503126,0.06373818,0.6310983],"study_design_scores_gemma":[0.002050505,0.0001061898,0.001827826,0.00255767,0.00005313489,0.00009506057,0.008418689,0.0008080352,0.0000363621,0.00008606435,0.98379,0.0001704048],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8787052,0.008285278,0.08082175,0.008712627,0.01208506,0.002292886,0.00002675381,0.000249284,0.008821143],"genre_scores_gemma":[0.9934316,0.00004210035,0.00006513699,0.001730173,0.004612376,0.000009994093,0.00004185468,0.00002280267,0.0000439261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9200519,"threshold_uncertainty_score":0.4065918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02600482203823658,"score_gpt":0.3070871968146107,"score_spread":0.2810823747763741,"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."}}