{"id":"W4281750834","doi":"10.18280/i2m.210204","title":"Increasing the Level of Management Efficiency: Using Unmanned Aerial Vehicles for Monitoring Pasture Lands","year":2022,"lang":"en","type":"article","venue":"Instrumentation Mesure Métrologie","topic":"Agricultural Development and Policies","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pasture; Context (archaeology); SWOT analysis; Agriculture; Land management; Environmental science; Environmental resource management; Business; Environmental planning; Geography; Forestry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0002369687,0.0001295421,0.0001102817,0.0008849132,0.0001217913,0.0004555178,0.000111689,0.0001274357,0.0003242027],"category_scores_gemma":[0.0004781199,0.00004073686,0.0001180167,0.0006807606,0.0001225634,0.0004790303,0.000160892,0.00007417039,0.00007228494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001757198,"about_ca_system_score_gemma":0.000159577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002237657,"about_ca_topic_score_gemma":0.002740178,"domain_scores_codex":[0.9997832,0.0000650771,0.000009784553,0.00003607394,0.00007964719,0.00002627412],"domain_scores_gemma":[0.9997132,0.00009178153,0.00007661835,0.00001887259,0.00008958789,0.000009835397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004102794,0.0002144132,0.1245068,0.0003949135,0.0001795441,0.0003010407,0.0007888458,0.05066922,0.2285254,0.003430788,0.001010295,0.5895685],"study_design_scores_gemma":[0.00003102612,0.001699472,0.4042828,0.00009614482,0.0002509058,0.0004606245,0.003855997,0.3711656,0.1983514,0.003324043,0.01639741,0.00008460043],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9635786,0.0005155911,0.03183456,0.00006561002,0.00001082244,0.00004101317,0.000108479,0.0001028224,0.003742491],"genre_scores_gemma":[0.9897361,0.0001412716,0.009575387,0.000006117736,0.000003969181,0.000006143027,0.00004759845,0.000002941709,0.0004804968],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002237657,"threshold_uncertainty_score":0.004449308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08918961220415246,"score_gpt":0.2913650097199573,"score_spread":0.2021753975158049,"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."}}