{"id":"W4225797003","doi":"10.1109/tits.2022.3155072","title":"The Drone Scheduling Problem: A Systematic State-of-the-Art Review","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Intelligent Transportation Systems","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":134,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"National Science Foundation","keywords":"Drone; Scheduling (production processes); Popularity; Computer science; Operations research; Engineering; Operations management","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.002592963,0.001735697,0.002190484,0.005881618,0.0006997135,0.003210384,0.001703682,0.002075071,0.005925129],"category_scores_gemma":[0.01514253,0.001057208,0.002597503,0.007580027,0.0007318094,0.003176144,0.0009304194,0.00136181,0.001036997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001819566,"about_ca_system_score_gemma":0.009546063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008335778,"about_ca_topic_score_gemma":0.01094826,"domain_scores_codex":[0.9979851,0.0005578403,0.0004659625,0.0003105148,0.0005490577,0.0001314775],"domain_scores_gemma":[0.9801113,0.01701332,0.0009951323,0.0002249133,0.001496426,0.0001588421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001759961,0.0002106365,0.001425756,0.2698629,0.0008442481,0.0003094917,0.0005218473,0.004646953,0.0004414422,0.01279612,0.02606161,0.6827031],"study_design_scores_gemma":[0.00007315168,0.0004800034,0.004390694,0.2809711,0.004567435,0.001629221,0.001339553,0.003533436,0.0006926612,0.01319342,0.688971,0.0001583836],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004245443,0.9968833,0.0009058474,0.0002998673,0.000149158,0.00003289837,0.00006912435,0.00001376636,0.001221471],"genre_scores_gemma":[0.00316756,0.9951738,0.001039271,0.0001500297,0.0001479531,0.00003838236,0.0001023916,0.000007216745,0.00017343],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.008335778,"threshold_uncertainty_score":0.01982152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01172255706830844,"score_gpt":0.2148886727824057,"score_spread":0.2031661157140973,"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."}}