{"id":"W4409787572","doi":"10.61091/jcmcc127a-296","title":"Spatio-temporal Evolution and Influence Mechanism of Rural Tourism Flows Based on Network Data Mining","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mechanism (biology); Tourism; Economic geography; Data mining; Data science; Geography; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0007651716,0.0004063424,0.0003856231,0.003177272,0.0004460151,0.0008009242,0.0006783385,0.0002973466,0.0008497524],"category_scores_gemma":[0.003237923,0.0002289847,0.0008100102,0.003307051,0.0002774458,0.001250695,0.0006649335,0.0004234409,0.0001764066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008138776,"about_ca_system_score_gemma":0.0005009245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02384401,"about_ca_topic_score_gemma":0.02130008,"domain_scores_codex":[0.9994937,0.0001262594,0.00005000607,0.0001492175,0.0001147864,0.00006597711],"domain_scores_gemma":[0.9989612,0.0004620023,0.0001987046,0.0000922752,0.0002188513,0.00006688809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003097502,0.0002606367,0.5835626,0.0005308304,0.0005900363,0.001106978,0.00134665,0.2776516,0.002805725,0.01151798,0.005036998,0.1152803],"study_design_scores_gemma":[0.00001007812,0.00005141503,0.1187209,0.00003635358,0.0001225056,0.0001836109,0.0007261491,0.8725482,0.0009942083,0.004186413,0.002388752,0.00003146321],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9035259,0.0006776308,0.08680286,0.0006231498,0.00006189473,0.0001347547,0.003506734,0.0003110327,0.004355892],"genre_scores_gemma":[0.9866165,0.0003465485,0.01022993,0.00001849185,0.00002004711,0.00006204746,0.001853654,0.0000128048,0.0008400911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02384401,"threshold_uncertainty_score":0.04741043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01437004121801111,"score_gpt":0.2445021019843161,"score_spread":0.230132060766305,"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."}}