{"id":"W2149103160","doi":"10.1057/jors.2012.71","title":"Matching patient and physician preferences in designing a primary care facility network","year":2012,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Türkiye Bilimsel ve Teknolojik Araştırma Kurumu","keywords":"Context (archaeology); Matching (statistics); Stakeholder; Health care; Incentive; Business; Purchasing; Computer science; Knowledge management; Marketing; Economics; Medicine; Microeconomics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002672116,0.0008039047,0.000947857,0.0006220929,0.0006872611,0.00217552,0.001375745,0.001740675,0.006160265],"category_scores_gemma":[0.006349909,0.0008932588,0.0007024723,0.001171569,0.0007285064,0.001948842,0.001355438,0.001197324,0.0005112996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00225475,"about_ca_system_score_gemma":0.002074367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005895001,"about_ca_topic_score_gemma":0.008562774,"domain_scores_codex":[0.9970859,0.001900255,0.00005654704,0.0003230225,0.0002420651,0.0003921964],"domain_scores_gemma":[0.9974881,0.001837837,0.0002182973,0.00006734578,0.0001174929,0.0002709153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008835603,0.00006249716,0.002055153,0.00004835637,0.00002250657,0.0001734281,0.0001225904,0.9768062,0.000436111,0.01249023,0.0004084988,0.007286138],"study_design_scores_gemma":[0.00003470113,0.0001069404,0.0007092272,0.00001558354,0.00002023518,0.0001115515,0.000232966,0.9859665,0.0003131879,0.01097049,0.001500992,0.00001752663],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1555675,0.0002737184,0.8268259,0.001604838,0.00004839828,0.0004680964,0.00044916,0.0001353801,0.01462695],"genre_scores_gemma":[0.890146,0.0002689849,0.1035789,0.0001674171,0.00003535404,0.0004482491,0.0001825353,0.00004322218,0.005129328],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006160265,"threshold_uncertainty_score":0.02060813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0688836860669017,"score_gpt":0.3052366764368525,"score_spread":0.2363529903699508,"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."}}