{"id":"W2407945866","doi":"10.11821/yj2011030006","title":"Analysis of tourism labor's inter-industry mobilty rules based on comparison among five areas at home and abroad","year":2011,"lang":"en","type":"article","venue":"Geographical Research","topic":"Hospitality and Tourism Education","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tourism; China; Dominance (genetics); Business; Labor mobility; Ranking (information retrieval); Agriculture; Geography; Demographic economics; Economic growth; Labour economics; Economics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001341853,0.0001496381,0.0003428868,0.001837961,0.0002408485,0.0001262619,0.000311479,0.0002849582,0.001023619],"category_scores_gemma":[0.0003321542,0.000131804,0.0001587969,0.00278114,0.0005228801,0.0002877335,0.0002654743,0.0007269335,0.00004334918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002737394,"about_ca_system_score_gemma":0.00002323338,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009505742,"about_ca_topic_score_gemma":0.0008988378,"domain_scores_codex":[0.9980813,0.00009229934,0.0003218444,0.0004075264,0.0006736968,0.000423391],"domain_scores_gemma":[0.9987062,0.0002483875,0.000134673,0.0004200847,0.0004236886,0.00006701206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001224275,0.000462024,0.9933653,0.00006316153,0.0001773896,0.000007019332,0.0001873602,0.00002451307,0.000006863875,0.001470453,0.001831117,0.002282344],"study_design_scores_gemma":[0.0002656347,0.00006244826,0.9834462,0.00005705455,0.0001433913,5.487581e-8,0.0005380962,0.01223447,0.00004191553,0.001891937,0.001171429,0.0001474183],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923831,0.00006155449,0.00002644603,0.0007348862,0.00007380694,0.0002152902,0.00001638147,0.00003527376,0.006453312],"genre_scores_gemma":[0.9993142,0.00001659987,0.00004179472,0.000136194,0.0001769043,0.00003808054,0.00008547636,0.00001318902,0.0001775806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01220996,"threshold_uncertainty_score":0.9998896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04891586653837861,"score_gpt":0.3330736530508804,"score_spread":0.2841577865125018,"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."}}