{"id":"W3036755729","doi":"10.1007/978-3-030-33157-3_1","title":"The Use of Remote Sensing to Enhance Biodiversity Monitoring and Detection: A Critical Challenge for the Twenty-First Century","year":2020,"lang":"en","type":"book-chapter","venue":"","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Biodiversity; Geography; Extinction (optical mineralogy); Ecosystem; Environmental resource management; Measurement of biodiversity; Global biodiversity; Habitat destruction; Ecology; Environmental science; Biology; Biodiversity conservation","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001038656,0.0001386042,0.0001476601,0.000009798227,0.0005245201,0.00006497624,0.0001448483,0.00008904997,0.00004905142],"category_scores_gemma":[0.00002683474,0.00007760801,0.00006701343,0.00001997172,0.0000686837,0.00008986744,0.0003096638,0.0001045006,0.00006673334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004547816,"about_ca_system_score_gemma":0.000002455334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00035838,"about_ca_topic_score_gemma":0.001680668,"domain_scores_codex":[0.9992419,0.000008474802,0.0001503334,0.0002703707,0.0001777049,0.0001511553],"domain_scores_gemma":[0.9992079,0.0004182646,0.00005794563,0.0002169669,0.00001482009,0.00008414635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008863112,0.00003902212,0.0007443726,0.001451801,0.000568586,0.00005368482,0.005329328,0.0003036392,0.001011851,0.001917476,0.004016972,0.983677],"study_design_scores_gemma":[0.00009359426,0.0001378847,0.0001892935,0.0001893851,0.0001157249,0.000006472474,0.000213935,0.00334173,0.001500622,0.0004673614,0.9934897,0.0002542283],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2278243,0.0251831,0.1739151,0.2451289,0.03054388,0.02555041,0.001527584,0.001450888,0.2688759],"genre_scores_gemma":[0.9755892,0.01031869,0.005744569,0.0006734492,0.0009172147,0.000003912256,0.000003691644,0.00005239667,0.006696912],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9894728,"threshold_uncertainty_score":0.4034238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0365690740446256,"score_gpt":0.2369290025692539,"score_spread":0.2003599285246283,"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."}}