{"id":"W2011182425","doi":"10.1007/s00291-011-0280-1","title":"The impact of client choice on preventive healthcare facility network design","year":2011,"lang":"en","type":"article","venue":"OR Spectrum","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":116,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Facility location problem; Attractiveness; Computer science; Time limit; Workload; Probabilistic logic; Quality (philosophy); Health care; Network planning and design; Operations research; Artificial intelligence; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001073223,0.00009851923,0.0001536491,0.00001318954,0.0005489148,0.00002202142,0.0003328522,0.00006358649,0.0006923733],"category_scores_gemma":[0.00009038587,0.0000548907,0.0001494712,0.0002658108,0.0002706368,0.00009769304,0.00001470941,0.0001460932,0.00002169259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001449647,"about_ca_system_score_gemma":0.0003078945,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02285644,"about_ca_topic_score_gemma":0.0271057,"domain_scores_codex":[0.998576,0.0003321811,0.00022568,0.0002082653,0.000241371,0.0004164957],"domain_scores_gemma":[0.9991802,0.0002413212,0.0001394587,0.0002849259,0.00003996792,0.0001141479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007795247,0.0002609875,0.9787657,0.00001157987,0.00005981204,0.000003619509,0.009509862,0.00005232352,0.000004264456,0.00322756,0.001645995,0.005678832],"study_design_scores_gemma":[0.0001299503,0.0004474419,0.9813411,0.00001794214,0.000009603102,4.981653e-8,0.0004054348,0.000006189247,0.0002674916,0.01615131,0.001135232,0.00008826562],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847268,0.0002234541,0.0005246279,0.0006295861,0.0003464326,0.0007237113,0.00003440821,0.00005489184,0.01273603],"genre_scores_gemma":[0.9987032,0.00005548233,0.00008818283,0.00002113818,0.0001485719,0.00001034432,0.000001821066,0.000004023415,0.0009671769],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0139764,"threshold_uncertainty_score":0.9906471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08406994656302978,"score_gpt":0.3576396471445394,"score_spread":0.2735697005815096,"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."}}