{"id":"W4389203855","doi":"10.1080/00036846.2023.2288041","title":"Patient preferences, referral process, and access to specialized care. Is patient choice constrained?","year":2023,"lang":"en","type":"article","venue":"Applied Economics","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institut National Du Cancer; Ministry of Health, British Columbia; Direction Générale de l’offre de Soins; Institut National de la Santé et de la Recherche Médicale; Agence Nationale de la Recherche","keywords":"Referral; Patient choice; Quality (philosophy); Selection (genetic algorithm); Multinomial distribution; Multinomial logistic regression; Process (computing); Medicine; Health care; Family medicine; Nursing; Medical emergency; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000154685,0.0002428769,0.0004630929,0.0003253892,0.0001668402,0.0002158738,0.0002797573,0.0001222906,0.0002290182],"category_scores_gemma":[0.00003592891,0.0002996524,0.00005519786,0.0002990235,0.00005848245,0.0002061667,0.0003074235,0.0001371643,0.0009176458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001736067,"about_ca_system_score_gemma":0.0000576829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001112938,"about_ca_topic_score_gemma":0.0006704556,"domain_scores_codex":[0.9979179,0.000007737287,0.0007764334,0.000728134,0.0000342918,0.0005355194],"domain_scores_gemma":[0.9989908,0.00004851785,0.0002897806,0.0003801092,0.00002776088,0.0002630595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001329748,0.0001212219,0.01442737,0.0005815467,0.0001930341,0.000003606541,0.02629456,0.001621946,0.000004408535,0.6845849,0.02339095,0.2486434],"study_design_scores_gemma":[0.00105778,0.0002123604,0.01850236,0.00002735533,0.00001115803,0.00000150278,0.003728861,0.0003740526,0.0003107918,0.07741764,0.8975244,0.0008317616],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8970188,0.0001908196,0.00003716735,0.003553009,0.0004431128,0.001140574,0.0005132481,0.0001225977,0.09698063],"genre_scores_gemma":[0.9920277,0.0005982635,0.0002329938,0.00642028,0.0001339489,0.0003687792,0.00007998329,0.00003880955,0.00009924875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8741334,"threshold_uncertainty_score":0.9999456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07546396731457211,"score_gpt":0.2947187125857537,"score_spread":0.2192547452711816,"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."}}