{"id":"W7008075400","doi":"","title":"Applications of Unmanned Aerial Vehicles for Conducting Mesocarnivore and Breeding Waterfowl Surveys in Southern Manitoba","year":2020,"lang":"en","type":"article","venue":"Civil War Book Review","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Aerial survey; Waterfowl; Wildlife; Population; Quadcopter; Abundance (ecology); Survey methodology; Drone","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":[0.001427619,0.0004696001,0.0001369252,0.0006520772,0.001561341,0.0008050324,0.0007462875,0.0002856737,0.001540662],"category_scores_gemma":[0.001246948,0.0004065314,0.0002269886,0.0007150685,0.0005532696,0.0003443226,0.0006262011,0.0003754359,0.0002986572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0035769,"about_ca_system_score_gemma":0.008196872,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5283353,"about_ca_topic_score_gemma":0.8501114,"domain_scores_codex":[0.9994606,0.0001821432,0.00002062507,0.0001130646,0.0001459432,0.00007762419],"domain_scores_gemma":[0.9984281,0.000224944,0.0001991414,0.00008787573,0.0007743925,0.0002856194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003172254,0.0003722993,0.7171309,0.0004811864,0.000135929,0.001482079,0.0102288,0.004402379,0.06697756,0.0006425024,0.003320578,0.1945086],"study_design_scores_gemma":[0.00007015426,0.001425207,0.943345,0.0003422605,0.0001037361,0.0004397751,0.01392363,0.006236461,0.005582632,0.0002120515,0.0282623,0.00005673566],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9738563,0.001634778,0.007640123,0.001339206,0.00008057921,0.000553633,0.0003172834,0.0001689867,0.01440907],"genre_scores_gemma":[0.9296645,0.002886246,0.05784097,0.00049607,0.0000342099,0.0003854726,0.0004703643,0.00002366529,0.008198483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4716647,"threshold_uncertainty_score":0.9488849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03325217200463754,"score_gpt":0.240110856348914,"score_spread":0.2068586843442765,"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."}}