{"id":"W2883504687","doi":"10.1155/2018/6847030","title":"Multicriteria Spatial Decision Analysis for the Development of the Italian Minor Airport System","year":2018,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Planning and Valuation","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Sapienza Università di Roma","keywords":"Transport engineering; Aviation; Tourism; Charter; Air transport; Status quo; Air traffic control; Reservation; Popularity; Construct (python library); International airport; Operations research; Computer science; Business; Engineering; Geography; Economics","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":[],"consensus_categories":[],"category_scores_codex":[0.0004879665,0.00006410811,0.0001265662,0.0000414938,0.0001538239,0.000007632061,0.0001541349,0.00002628658,0.00004384353],"category_scores_gemma":[0.00003186844,0.00003537866,0.0001304681,0.000234025,0.0000544153,0.0001381299,0.000002901795,0.0000413212,0.000002498915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007501376,"about_ca_system_score_gemma":0.00002390754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002243035,"about_ca_topic_score_gemma":0.0009617908,"domain_scores_codex":[0.9989458,0.00001861975,0.0005172337,0.00008323418,0.0003563944,0.00007870148],"domain_scores_gemma":[0.9991688,0.00008596481,0.0005237744,0.0001085483,0.00008627003,0.00002666661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009409025,0.0001260152,0.6191107,0.00004668402,0.0004413553,0.000001716294,0.01985002,0.2234185,0.0404314,0.00002256725,0.0003431583,0.09526697],"study_design_scores_gemma":[0.0004238785,0.00007887481,0.985428,0.00004929689,0.0003352052,0.000001250703,0.0006997982,0.002801796,0.008838429,0.00002145211,0.001275392,0.00004662646],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7861909,0.00001246467,0.2132735,0.00003962289,0.0003186018,0.0001389769,0.000006557624,0.000002620985,0.00001682076],"genre_scores_gemma":[0.9630855,8.909686e-7,0.03680237,0.00001496254,0.0000544025,0.000004813519,0.000006233178,0.000004513733,0.00002626046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3663173,"threshold_uncertainty_score":0.14427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02004745236504434,"score_gpt":0.2751110814049245,"score_spread":0.2550636290398801,"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."}}