{"id":"W2615206588","doi":"10.5539/jmr.v9n3p30","title":"Modeling and Resolution of the Allocation Problem of the Time Slots in Dakar Airport","year":2017,"lang":"en","type":"article","venue":"Journal of Mathematics Research","topic":"Aviation Industry Analysis and Trends","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Integer programming; Operations research; Integer (computer science); Mathematical optimization; Linear programming; Quality (philosophy); Resolution (logic); Computer science; Mathematics; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001269197,0.0009283375,0.001022803,0.0005359544,0.0007306649,0.002222185,0.001610811,0.001523738,0.004655141],"category_scores_gemma":[0.002044786,0.0008685539,0.001080869,0.0008268188,0.000833114,0.001745996,0.001106715,0.001958748,0.0002912748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002097839,"about_ca_system_score_gemma":0.002056045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01762972,"about_ca_topic_score_gemma":0.01311152,"domain_scores_codex":[0.9992383,0.0002919134,0.0000260185,0.000183058,0.00007161297,0.0001892467],"domain_scores_gemma":[0.9992886,0.0004231037,0.0001011129,0.00002398686,0.00008956589,0.0000735641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004256691,0.00002786042,0.0003177247,0.00004828093,0.00001094951,0.00007846363,0.00005552709,0.9732632,0.0003945962,0.02269927,0.0004852158,0.002576395],"study_design_scores_gemma":[0.000007869194,0.00001822841,0.0001120792,0.000006300586,0.000007362262,0.00001519395,0.00004561506,0.9947582,0.0001538666,0.00425064,0.0006179241,0.000006623285],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1147168,0.0007441416,0.8685122,0.0008424425,0.0001516976,0.0001402576,0.000404408,0.0001418169,0.01434615],"genre_scores_gemma":[0.8811632,0.0006247169,0.1048439,0.00009067339,0.00007306589,0.0002370504,0.0002809165,0.00008194643,0.01260446],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01762972,"threshold_uncertainty_score":0.03505421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1716894774985317,"score_gpt":0.3460107327576837,"score_spread":0.174321255259152,"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."}}