{"id":"W3015602705","doi":"10.31390/gradschool_theses.5095","title":"Applications of Unmanned Aerial Vehicles for Conducting Mesocarnivore and Breeding Waterfowl Surveys in Southern Manitoba","year":2020,"lang":"en","type":"dissertation","venue":"","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Waterfowl; Wildlife; Aerial survey; Geography; Brood; Drone; Remote sensing; Fishery; Aeronautics; Environmental science; Engineering; Ecology; Habitat; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001520349,0.0004962788,0.000150362,0.0007029762,0.001651406,0.0008347121,0.0007442219,0.000298943,0.001462829],"category_scores_gemma":[0.001292129,0.0004401762,0.0002441579,0.0007779492,0.0005640322,0.0003423062,0.0006648806,0.0003996582,0.0003138072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003300731,"about_ca_system_score_gemma":0.008254053,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4887901,"about_ca_topic_score_gemma":0.8312352,"domain_scores_codex":[0.9994272,0.0001995581,0.00002177449,0.000111947,0.0001591239,0.00008036567],"domain_scores_gemma":[0.9982995,0.0002440939,0.0002111101,0.0001014397,0.000844811,0.0002990382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002989897,0.0003691317,0.689703,0.0005207097,0.0001575663,0.00156861,0.01076706,0.005040289,0.06773495,0.0007027392,0.003672631,0.2194642],"study_design_scores_gemma":[0.00007672791,0.001493412,0.9351186,0.0004023853,0.000129535,0.0005088043,0.01576215,0.007211768,0.006173966,0.000270571,0.03278787,0.00006407403],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.969375,0.001993824,0.009766424,0.001580065,0.0001058842,0.0006319171,0.0003278458,0.000195781,0.01602322],"genre_scores_gemma":[0.9251895,0.003221948,0.06255864,0.0004944233,0.00003602703,0.0003843444,0.0004304584,0.00002421212,0.007660498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5112099,"threshold_uncertainty_score":0.97189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02808812577369132,"score_gpt":0.2481363826602978,"score_spread":0.2200482568866065,"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."}}