{"id":"W2792309715","doi":"10.5267/j.dsl.2018.1.005","title":"Ranking the cities with potential of tourism investment in Fars province using numerical taxonomy","year":2018,"lang":"en","type":"article","venue":"Decision Science Letters","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tourism; Ranking (information retrieval); Taxonomy (biology); Numerical taxonomy; Geography; Management science; Operations research; Computer science; Regional science; Business; Mathematics; Engineering; Artificial intelligence; Ecology; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00294299,0.00009819341,0.0001505383,0.0003766456,0.0008860437,0.0003016611,0.001322154,0.00003294249,0.00008744517],"category_scores_gemma":[0.0004497837,0.00006447086,0.00004116994,0.001520661,0.005780946,0.0007841864,0.0002850441,0.0001655229,0.00001826578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002719233,"about_ca_system_score_gemma":0.0006779074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003673005,"about_ca_topic_score_gemma":0.0003243372,"domain_scores_codex":[0.996412,0.0001609989,0.0002354364,0.0003692826,0.002265058,0.000557261],"domain_scores_gemma":[0.9990079,0.0002431183,0.0001358937,0.0003255524,0.0001702439,0.0001172841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002274154,0.001098188,0.153451,0.00005497611,0.0001490063,0.003706135,0.08803473,0.02184813,0.2734969,0.07386421,0.04637021,0.3356524],"study_design_scores_gemma":[0.01315452,0.002825631,0.3285978,0.002531761,0.0001956337,0.0001257849,0.2566674,0.07988007,0.08307263,0.03428163,0.1935111,0.005156105],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9757078,0.00001156721,0.01464281,0.005237995,0.0002456139,0.0004658008,9.867301e-7,0.00001471608,0.003672698],"genre_scores_gemma":[0.9862776,0.000003257557,0.01197653,0.001510738,0.0001800078,0.000009230325,6.720794e-8,0.000005574303,0.00003696863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3304963,"threshold_uncertainty_score":0.9969248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04761210981102387,"score_gpt":0.3312577298057409,"score_spread":0.283645619994717,"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."}}