{"id":"W2349244896","doi":"","title":"Basic structure of Fujian inbound tourists source markets and prediction of their development","year":2006,"lang":"en","type":"article","venue":"Journal of Fujian Agriculture and Forestry University","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Business; Geography; Economic geography; Data source; Regional science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000257018,0.0003157305,0.0002348235,0.001390934,0.0003768593,0.0007781624,0.000480042,0.0003273811,0.002776042],"category_scores_gemma":[0.001185803,0.0002307897,0.0004204866,0.001140507,0.0002950986,0.0009836743,0.0003261191,0.0003078634,0.0001566397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001303872,"about_ca_system_score_gemma":0.0006096317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06785258,"about_ca_topic_score_gemma":0.06611021,"domain_scores_codex":[0.9999141,0.00001280918,0.000004176336,0.00002250355,0.00001453531,0.00003191923],"domain_scores_gemma":[0.9993935,0.0001956508,0.0001632175,0.0000289217,0.000130821,0.00008796481],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00031201,0.0001331211,0.747311,0.0001090489,0.0001625378,0.001313422,0.0006862365,0.2086384,0.005207194,0.0103711,0.002526357,0.02322952],"study_design_scores_gemma":[0.00001245953,0.0000678423,0.4485039,0.00001579617,0.00004634993,0.0001618943,0.0005193929,0.5436248,0.0009781942,0.004630151,0.00141692,0.00002231542],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958218,0.00009587387,0.001972147,0.00006345173,0.000001665403,0.00001214813,0.0005799216,0.00001667461,0.001436249],"genre_scores_gemma":[0.9979393,0.00006280647,0.0005972493,0.00000306128,0.000001875218,0.000005680749,0.000664284,0.000003144112,0.0007225866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06785258,"threshold_uncertainty_score":0.1349153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005640593533395474,"score_gpt":0.1293299707109506,"score_spread":0.1236893771775551,"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."}}