{"id":"W4410632525","doi":"10.22215/etd/2025-16500","title":"Autonomous Aerial Drone Landing Site Selection on a Maritime Vessel","year":2025,"lang":"en","type":"dissertation","venue":"","topic":"Maritime Navigation and Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; University of Washington","keywords":"Drone; Aeronautics; Selection (genetic algorithm); Marine engineering; Engineering; Aerospace engineering; Site selection; Computer science; Artificial intelligence; Political science; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006061989,0.0001869422,0.0001565996,0.0001228239,0.0001825784,0.0002798935,0.0001884033,0.000151814,0.001740039],"category_scores_gemma":[0.0001599897,0.00009042083,0.0001263578,0.00007581875,0.00009042126,0.0002223771,0.0002916452,0.0001437695,0.0005398366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001409382,"about_ca_system_score_gemma":0.0003041385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003293724,"about_ca_topic_score_gemma":0.005076377,"domain_scores_codex":[0.9999671,0.000003631571,9.026051e-7,0.000009689307,0.00001203661,0.000006606022],"domain_scores_gemma":[0.999958,0.000008526433,0.000004682828,0.000007706141,0.00001376912,0.000007286016],"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":[0.0005358282,0.0002027821,0.01213973,0.0001458048,0.00005007891,0.0005403269,0.00053209,0.4239735,0.2669374,0.003611122,0.003744794,0.2875866],"study_design_scores_gemma":[0.0000368837,0.0002412604,0.004510903,0.00001091243,0.0000159553,0.00008278202,0.000153341,0.9531626,0.03604044,0.0004214576,0.005310144,0.00001331797],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7432392,0.0001119464,0.2339535,0.0001037997,0.00006271845,0.0001155191,0.0001989136,0.001908752,0.02030568],"genre_scores_gemma":[0.9488147,0.00008002616,0.04399496,0.00002477523,0.000005016764,0.0000341218,0.0001511945,0.00004213914,0.006852943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003293724,"threshold_uncertainty_score":0.00654912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005603371921751071,"score_gpt":0.2244498515577719,"score_spread":0.2188464796360208,"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."}}