{"id":"W2056849512","doi":"10.1068/b36022","title":"Movement Surface: A Multilevel Approach for Predicting Visitor Movement in Nature Areas","year":2011,"lang":"en","type":"article","venue":"Environment and Planning B Planning and Design","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Visitor pattern; Movement (music); Recreation; Destinations; Computer science; Motion (physics); Tourism; Geography; Artificial intelligence; Ecology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0006773905,0.0003958123,0.0007664764,0.001305592,0.0004342416,0.001292305,0.001073586,0.0009070993,0.002537973],"category_scores_gemma":[0.003363919,0.00037121,0.00163073,0.001088748,0.0003979044,0.001022108,0.00126871,0.0008512634,0.0003278711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007964457,"about_ca_system_score_gemma":0.0007294557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03631149,"about_ca_topic_score_gemma":0.031376,"domain_scores_codex":[0.9995714,0.0002014465,0.00002206973,0.00009110734,0.00005965969,0.00005434502],"domain_scores_gemma":[0.99888,0.0006871138,0.0001304213,0.00008475596,0.0001073212,0.000110454],"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":[0.00008978901,0.00007991508,0.03376647,0.00003797981,0.0001525739,0.0000837332,0.0001883311,0.942897,0.0007618133,0.004021193,0.0004129656,0.01750819],"study_design_scores_gemma":[0.00000360606,0.00002971381,0.002766134,0.000004380803,0.00001170005,0.00000718979,0.00003932542,0.9957075,0.00005647959,0.001208679,0.0001593997,0.000005773138],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4399165,0.0001752822,0.5538983,0.0004429121,0.00002928312,0.000152428,0.001564314,0.0007620398,0.003058893],"genre_scores_gemma":[0.9236537,0.0001054687,0.07445993,0.00002082991,0.0000127534,0.0001442061,0.0006395791,0.00006234946,0.0009010936],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03631149,"threshold_uncertainty_score":0.0722003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05311024654486168,"score_gpt":0.2734832957348644,"score_spread":0.2203730491900027,"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."}}