{"id":"W37090458","doi":"10.18549/pharmpract.2023.1.2774","title":"Integrating GIS into choice experiments: An evaluation of land use scenarios in Whistler, B.C.","year":2005,"lang":"en","type":"dissertation","venue":"Pharmacy Practice","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Whistler; Remote sensing; Land use; Computer science; Geography; Environmental planning; Environmental science; Engineering; Civil engineering; Physics; Nuclear physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0135322,0.001207768,0.0008204666,0.0008714566,0.0007174641,0.001995037,0.001857558,0.00189579,0.006044656],"category_scores_gemma":[0.04961792,0.0004907151,0.0008605631,0.0009785043,0.0008653207,0.003054654,0.001342552,0.00100248,0.0007172775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00198393,"about_ca_system_score_gemma":0.001473022,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004618595,"about_ca_topic_score_gemma":0.005951831,"domain_scores_codex":[0.991552,0.007096128,0.0003065207,0.0003061546,0.0005432098,0.0001959872],"domain_scores_gemma":[0.8853286,0.1073155,0.001828966,0.002341028,0.001870113,0.00131579],"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":[0.05667039,0.07407366,0.07585246,0.004006612,0.001360951,0.001532734,0.01902556,0.3747571,0.01580913,0.01722973,0.009724481,0.3499572],"study_design_scores_gemma":[0.009323241,0.0616634,0.03432732,0.000612575,0.0009133649,0.0002911145,0.00909768,0.8057406,0.0207864,0.03028685,0.02646621,0.0004912677],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834111,0.00008327027,0.00948278,0.0003013123,0.00005268771,0.001335542,0.0006120792,0.0002962454,0.004425048],"genre_scores_gemma":[0.935302,0.000201008,0.05923269,0.000135209,0.00002326947,0.00302501,0.0007381762,0.00005771312,0.001284882],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9953814,"threshold_uncertainty_score":0.07156599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1435099654987112,"score_gpt":0.4905544841578458,"score_spread":0.3470445186591346,"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."}}