{"id":"W7119492996","doi":"10.64903/1480-6800-28.3-4.197","title":"Examining the Spatial Distribution of Smoking Lounges Near Colleges in Kuwait Using GIS","year":2025,"lang":"","type":"article","venue":"Arab world geographer","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geographic information system; Distribution (mathematics); Spatial analysis; Spatial distribution; Public health; Cluster analysis","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001849731,0.0002964028,0.0004999686,0.0002237571,0.001137958,0.0002318508,0.0006392616,0.000181286,0.0005143642],"category_scores_gemma":[0.0001014433,0.0002519755,0.0002580718,0.005377667,0.00179932,0.0003590253,0.0001083218,0.0004684456,0.000001697108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001255514,"about_ca_system_score_gemma":0.0003565321,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04672647,"about_ca_topic_score_gemma":0.1035948,"domain_scores_codex":[0.9968136,0.0004716763,0.0008865245,0.0005983579,0.000558769,0.0006710538],"domain_scores_gemma":[0.9985045,0.0004489829,0.0003861622,0.0004584632,0.0001304167,0.00007148198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000071332,0.0001725791,0.9855818,0.00006150961,0.0001030328,0.000005018913,0.002943987,0.0001939619,0.00003670011,0.000915411,0.0001313356,0.009783324],"study_design_scores_gemma":[0.000552695,0.00002486298,0.9871776,0.0005451841,0.0002207198,6.981445e-8,0.00329525,0.0009997967,0.0001665318,0.001896033,0.00487232,0.0002489109],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876882,0.0037,0.000357544,0.0009228261,0.001048754,0.0005744434,0.00005652892,0.000029265,0.00562237],"genre_scores_gemma":[0.9988869,0.0001528794,0.0000550077,0.0001066344,0.0001291367,0.00001536878,0.00001968789,0.00001198816,0.000622399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05686835,"threshold_uncertainty_score":0.9999933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02608444562208809,"score_gpt":0.2857933466293573,"score_spread":0.2597089010072692,"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."}}