{"id":"W2355045751","doi":"","title":"Spatial structure of A-grade tourist attractions in Gansu","year":2014,"lang":"en","type":"article","venue":"Ganhanqu ziyuan yu huanjing","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"Tourism; Geography; Spatial distribution; Distribution (mathematics); Cartography; Mathematics; Remote sensing","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":[0.0001118488,0.0001060406,0.0001163788,0.001331362,0.0002915854,0.0002746471,0.0001627845,0.00008914475,0.001039728],"category_scores_gemma":[0.000245134,0.00008224494,0.0001884938,0.001357987,0.0002764208,0.0001221871,0.0003106928,0.00006512305,0.00008437045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005471958,"about_ca_system_score_gemma":0.0003153211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07719426,"about_ca_topic_score_gemma":0.1232386,"domain_scores_codex":[0.9998953,0.00002034951,0.000007635754,0.00002985974,0.00002068253,0.00002606289],"domain_scores_gemma":[0.999793,0.0000340561,0.00005846552,0.00001458039,0.00005838595,0.00004141744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005728731,0.00001312644,0.98753,0.00003735173,0.00003056792,0.0002717887,0.0008710421,0.0008354041,0.001704357,0.0002493137,0.0003099133,0.008089879],"study_design_scores_gemma":[7.036986e-7,0.00001279567,0.9987403,0.000001986116,0.000003803865,0.0000514618,0.0004256025,0.0005186796,0.00003249312,0.00001384871,0.0001961346,0.000002271818],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991438,0.00003387867,0.00007417235,0.000009081162,5.738551e-7,0.000003443547,0.0002055129,0.00000588594,0.0005235596],"genre_scores_gemma":[0.999454,0.00002034961,0.0001001981,0.000001617944,7.136557e-7,0.000003769177,0.0002220151,4.396043e-7,0.0001969026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07719426,"threshold_uncertainty_score":0.1534899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02499395769901163,"score_gpt":0.331721495512622,"score_spread":0.3067275378136104,"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."}}