{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0003738256,0.0003673125,0.0003631031,0.0002342649,0.001574831,0.001082476,0.0006486728,0.000369148,0.0000123609],"category_scores_gemma":[0.000207574,0.0003605639,0.0001206802,0.000250869,0.00002173432,0.001439541,0.000135239,0.0003819385,0.00001348103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005597056,"about_ca_system_score_gemma":0.0003188213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003046122,"about_ca_topic_score_gemma":0.00001692875,"domain_scores_codex":[0.997799,0.0001102367,0.0005623931,0.0004757043,0.0005077854,0.000544841],"domain_scores_gemma":[0.9982439,0.00007311723,0.0003322259,0.0007581392,0.0002707725,0.0003218497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001427516,0.0006045152,0.00113266,0.0007063834,0.0003336011,0.0001622334,0.001068281,0.02943628,0.1430689,0.8176427,0.002764057,0.002937676],"study_design_scores_gemma":[0.002463911,0.00004904843,0.01115701,0.0006876052,0.0001945145,0.001119735,0.0004721816,0.2719701,0.0102028,0.0007920713,0.6995305,0.00136058],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7440102,0.001058849,0.1246427,0.006541306,0.005669244,0.001953541,0.0001500607,0.002606204,0.1133679],"genre_scores_gemma":[0.9942284,0.00005513867,0.004065674,0.00003156466,0.001101773,0.0001956862,0.0001230557,0.00007454526,0.0001242126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8168506,"threshold_uncertainty_score":0.9999545,"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."}}