{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007360071,0.0001420457,0.000264991,0.0003179669,0.0003881469,0.0001033365,0.000470329,0.000164856,0.0009877478],"category_scores_gemma":[0.0008648906,0.000152831,0.00009183578,0.0005238308,0.0003586187,0.0003260094,0.00009877725,0.0004039888,0.00006232897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001445026,"about_ca_system_score_gemma":0.0001742319,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02682518,"about_ca_topic_score_gemma":0.02671446,"domain_scores_codex":[0.9976841,0.0003035628,0.0003088682,0.0003191749,0.0007974341,0.0005868367],"domain_scores_gemma":[0.9989511,0.0002996859,0.0001444455,0.0002990903,0.00012073,0.000184965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002776104,0.001343849,0.438725,0.0004031538,0.0002691222,0.0004117407,0.06807768,0.001921344,0.188314,0.179457,0.02050469,0.1002949],"study_design_scores_gemma":[0.004920543,0.000554938,0.6885259,0.0006411102,0.0001412945,0.00001661053,0.04562751,0.002115997,0.07391353,0.05375635,0.1275088,0.002277379],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9476947,0.00003711648,0.0004989879,0.001503881,0.000580245,0.000292938,0.00001728095,0.00008108481,0.04929381],"genre_scores_gemma":[0.9975988,0.00002650994,0.0007322439,0.00004886951,0.0007186074,0.000003081549,0.000006130653,0.00002029538,0.0008454707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.249801,"threshold_uncertainty_score":0.9999255,"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."}}