{"id":"W2994163992","doi":"","title":"STUDY OF CLIMATIC CONDITIONS FOR TOURISM DEVELOPMENT USING TCI INDICATOR (CASE STUDY EAST AZERBAIJAN PROVINCE)","year":2013,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Persian; Tourism; Geography; Archaeology; Linguistics","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":[0.0003129227,0.0002639946,0.0002738078,0.001862101,0.0008148343,0.0009053447,0.0004869802,0.0003012082,0.003207924],"category_scores_gemma":[0.0004755904,0.00012068,0.0005568789,0.003252389,0.0003686002,0.0002590471,0.0005078572,0.0003998106,0.0001983827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002330775,"about_ca_system_score_gemma":0.001657128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2024903,"about_ca_topic_score_gemma":0.2347005,"domain_scores_codex":[0.9997899,0.00004371417,0.0000128655,0.00002168355,0.00004352298,0.00008829763],"domain_scores_gemma":[0.999726,0.00007618951,0.00004979291,0.00001378968,0.00008029192,0.00005382449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001690966,0.0005496601,0.9399699,0.0003168685,0.0001547249,0.01722966,0.003487296,0.009792767,0.002205335,0.001588404,0.00349041,0.02104587],"study_design_scores_gemma":[0.00001071213,0.0001186103,0.9763116,0.0000506438,0.00005614254,0.0007572047,0.01351538,0.005352213,0.0005951098,0.0001750833,0.003036424,0.00002090376],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952938,0.0002515454,0.000147891,0.0001039182,0.000007787389,0.00003451571,0.0007369473,0.000008681365,0.003414846],"genre_scores_gemma":[0.9979347,0.0002953896,0.0003394134,0.00000882626,0.000006946023,0.00001557061,0.0004898754,0.000002356873,0.0009070146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2024903,"threshold_uncertainty_score":0.4026234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.432110837836252,"score_gpt":0.6098005833581345,"score_spread":0.1776897455218824,"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."}}