{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004044431,0.0002153685,0.0002081794,0.004152886,0.0004948963,0.00106487,0.0002298882,0.0002004302,0.002725621],"category_scores_gemma":[0.001423821,0.00007647437,0.0003111407,0.004989873,0.0002479077,0.0003618159,0.0004992521,0.0001544258,0.0002886461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001293401,"about_ca_system_score_gemma":0.001973417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04114885,"about_ca_topic_score_gemma":0.05816061,"domain_scores_codex":[0.9996464,0.00005067439,0.00004007948,0.00002576521,0.0001402695,0.00009681902],"domain_scores_gemma":[0.9990006,0.0001821399,0.0001948534,0.00002918446,0.0004613427,0.0001318766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002157709,0.0000984044,0.9306691,0.0002103404,0.00006533228,0.0002997199,0.001067424,0.004619461,0.0009994389,0.003053448,0.004302926,0.05439865],"study_design_scores_gemma":[0.0000166897,0.0001065258,0.9751946,0.00007677417,0.00003906646,0.0002360226,0.008518773,0.006867163,0.0005049786,0.0008189382,0.00759013,0.00003049436],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877836,0.0001472421,0.0006519029,0.0001532315,0.000006589472,0.00004863369,0.00189635,0.00002285669,0.009289576],"genre_scores_gemma":[0.995314,0.0001752107,0.001857656,0.000006796321,0.000002477087,0.00004078337,0.001569359,0.00000220816,0.001031598],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04114885,"threshold_uncertainty_score":0.08181864,"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."}}