{"id":"W7055113759","doi":"","title":"Assessing pine processionary moth defoliation using unmanned aerial systems","year":2017,"lang":"en","type":"article","venue":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Resources Canada; FPInnovations","keywords":"Infestation; Mountain pine beetle; Tree (set theory); Mediterranean climate; Identification (biology); Geographic information system","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":[0.000260534,0.0003046066,0.0001731263,0.0007330837,0.0001127225,0.0002683544,0.0002140257,0.0001737907,0.0003913282],"category_scores_gemma":[0.0003958332,0.00008111401,0.0001688014,0.0003257009,0.0001092639,0.000427359,0.0002592341,0.0001289094,0.0000995009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001849293,"about_ca_system_score_gemma":0.0001574579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004860004,"about_ca_topic_score_gemma":0.00918623,"domain_scores_codex":[0.9997812,0.00003409619,0.00001050547,0.00004880803,0.0000941082,0.00003125061],"domain_scores_gemma":[0.9997923,0.0000367149,0.00007238807,0.00002390196,0.00005699273,0.00001780789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004392649,0.0003896455,0.3563772,0.0005177963,0.0002826139,0.0007086599,0.0005239901,0.1296798,0.2165906,0.0006766072,0.001417566,0.2923962],"study_design_scores_gemma":[0.00002635004,0.0005694304,0.5788936,0.00005531817,0.0001224363,0.0002809653,0.0005340353,0.3760872,0.04046538,0.0004457626,0.002452487,0.00006697227],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9771565,0.0002645604,0.0199162,0.00002129279,0.00001775638,0.00004707569,0.0004762504,0.0003100011,0.001790484],"genre_scores_gemma":[0.9872704,0.0001247006,0.01200034,0.00001587069,0.000005674346,0.00001897901,0.0003406363,0.00000791491,0.0002156581],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004860004,"threshold_uncertainty_score":0.009663463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0357888776503285,"score_gpt":0.2712572428559842,"score_spread":0.2354683652056557,"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."}}