{"id":"W4391991236","doi":"10.32920/25262800","title":"Towards Safe Drone Transportation in Toronto","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computational fluid dynamics; Drone; Wind speed; Meteorology; Mean squared error; Downtown; Environmental science; Marine engineering; Computer science; Aerospace engineering; Engineering; Geography; Mathematics; Statistics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0003036098,0.0004896853,0.0001698198,0.0004060049,0.001904912,0.002443002,0.0005158465,0.0007219597,0.007105115],"category_scores_gemma":[0.0006808761,0.0003293357,0.0003059982,0.0006903855,0.0006606256,0.000996695,0.0009948782,0.0008159625,0.001008304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01333958,"about_ca_system_score_gemma":0.01478648,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9119069,"about_ca_topic_score_gemma":0.9378768,"domain_scores_codex":[0.9997131,0.00003326488,0.000008446859,0.00003319703,0.0001498347,0.00006209893],"domain_scores_gemma":[0.9998153,0.0000177778,0.00001478166,0.0000143953,0.00008704905,0.00005081435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000321028,0.0001184689,0.04695898,0.001008627,0.00009477515,0.002117608,0.0107886,0.2008607,0.02354983,0.2130951,0.1469361,0.3541503],"study_design_scores_gemma":[0.00003954677,0.0001557847,0.04353388,0.0005677853,0.00005407862,0.0002397685,0.01164189,0.205306,0.007902207,0.01419182,0.7162704,0.00009683246],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.467071,0.01983137,0.1546343,0.02626439,0.001599268,0.0004437173,0.00559212,0.002583022,0.3219808],"genre_scores_gemma":[0.844099,0.01086479,0.04080095,0.0004208124,0.0001023368,0.00008224735,0.003387547,0.0001660212,0.1000762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0880931,"threshold_uncertainty_score":0.1772237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009933583649387118,"score_gpt":0.2499344198940552,"score_spread":0.2400008362446681,"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."}}