{"id":"W1892206252","doi":"10.1139/juvs-2015-0019","title":"Evaluation of an unmanned rotorcraft to monitor wintering waterbirds and coastal habitats in British Columbia, Canada","year":2015,"lang":"en","type":"article","venue":"Journal of Unmanned Vehicle Systems","topic":"Wildlife-Road Interactions and Conservation","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"ING Robotic Aviation; Environment and Climate Change Canada","funders":"","keywords":"Waterfowl; Habitat; Seabird; Plumage; Marsh; Geography; Fishery; Population; Wetland; Ecology; Biology; Predation","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0006291806,0.0006021202,0.0002619405,0.0006896148,0.001114222,0.0006218703,0.0007095351,0.000237501,0.0008952309],"category_scores_gemma":[0.0008566864,0.0002808454,0.0001529588,0.0006997175,0.0003576555,0.0003472286,0.0003012944,0.0002805521,0.0002227621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007109221,"about_ca_system_score_gemma":0.006841153,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9549831,"about_ca_topic_score_gemma":0.9879674,"domain_scores_codex":[0.9995763,0.00004391791,0.00001690211,0.00009073978,0.0001876389,0.00008451371],"domain_scores_gemma":[0.9986865,0.00006923783,0.00006205965,0.00002502279,0.0009822504,0.0001749371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006883747,0.0008218203,0.8171076,0.0002361537,0.0001200162,0.0005069643,0.001877228,0.008593666,0.03197658,0.0001724618,0.004818597,0.1330805],"study_design_scores_gemma":[0.0001001877,0.001221683,0.957584,0.0000529172,0.00008208336,0.0001303969,0.0028209,0.02559337,0.00500443,0.00002732796,0.007338539,0.00004417672],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938933,0.0002352443,0.001175929,0.000102715,0.00001658888,0.000368386,0.0009157391,0.0001338358,0.003158286],"genre_scores_gemma":[0.9893845,0.0002905628,0.005869485,0.0001028548,0.000003986378,0.0001303735,0.00126303,0.00001644137,0.002938806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04501688,"threshold_uncertainty_score":0.09056395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02104296319520756,"score_gpt":0.2505016047734539,"score_spread":0.2294586415782463,"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."}}