{"id":"W227226958","doi":"","title":"Characteristics of Conference Tourism at Large Lakes in Europe and Suggestions for Development at Lake Balaton Region, Hungary","year":2009,"lang":"en","type":"article","venue":"Journal of tourism","topic":"Hungarian Social, Economic and Educational Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tourism; Exhibition; China; Destinations; Ecotourism; Political science; Geography; Law","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":[0.0006687174,0.0000855762,0.0002818804,0.00007690943,0.0004402784,0.00002410411,0.0001270746,0.00007794616,0.00008174677],"category_scores_gemma":[0.0004721102,0.00008277192,0.0000493574,0.00009178532,0.0001070563,0.0001238147,0.00003542769,0.0001098912,0.000003255905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001653941,"about_ca_system_score_gemma":0.0003671219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001914778,"about_ca_topic_score_gemma":0.001191306,"domain_scores_codex":[0.9989592,0.00007722451,0.0004994636,0.0001009353,0.0001531558,0.000210057],"domain_scores_gemma":[0.9988182,0.0001895453,0.0004755176,0.00005048576,0.0003615133,0.0001047821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000420042,0.001046652,0.4435237,0.0001032103,0.0002670095,0.0001236903,0.1668921,0.000008641945,0.0003354396,0.04756243,0.3082182,0.03149882],"study_design_scores_gemma":[0.0003809539,0.00004820766,0.6234769,0.00006978188,0.00001808689,0.000007887098,0.001145739,0.000003942775,0.00004286084,0.00123916,0.3734687,0.00009780299],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9831919,0.0004262728,0.0002306401,0.01218608,0.000352165,0.0001381593,0.00001690639,0.000005305882,0.003452578],"genre_scores_gemma":[0.991066,0.00155113,0.001113164,0.0002326041,0.0005423113,0.00000324558,0.00000602933,0.000005946442,0.005479547],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1799531,"threshold_uncertainty_score":0.338631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03378826502322139,"score_gpt":0.2930314634693229,"score_spread":0.2592431984461015,"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."}}