{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001132927,0.0001028231,0.0003564463,0.0001559448,0.00008230058,0.00001431038,0.0001040263,0.0001103701,0.00003417474],"category_scores_gemma":[0.000005655344,0.00008150166,0.0001027333,0.000122769,0.00008419238,0.0001965012,0.0000344318,0.0001194113,3.833953e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005383418,"about_ca_system_score_gemma":0.00002599359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001729771,"about_ca_topic_score_gemma":0.0001548879,"domain_scores_codex":[0.9993194,0.00001265285,0.0004139397,0.000124543,0.00003838802,0.00009104552],"domain_scores_gemma":[0.9990115,0.00002152301,0.0007673974,0.00006189445,0.0000708092,0.00006691333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000259147,0.0001610952,0.9752078,0.0001452669,0.0005811718,0.00001760196,0.001557246,0.0004911416,0.0009283064,0.01209082,0.004950963,0.003609411],"study_design_scores_gemma":[0.0005910356,0.00007271285,0.959007,0.00003663162,0.00003726368,0.0000477731,0.000772407,0.0001014799,0.0003693618,0.002592369,0.03626924,0.0001027391],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968674,0.0007441838,0.0006239866,0.0001526049,0.00004978934,0.00004052769,0.0001060355,0.000002213599,0.001413286],"genre_scores_gemma":[0.9984931,0.0002556112,0.0003568657,0.00001038531,0.00009157787,2.746481e-8,0.00001270997,0.000003035727,0.0007767368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03131828,"threshold_uncertainty_score":0.3323541,"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."}}