{"id":"W2626210576","doi":"10.1111/btp.12454","title":"Twenty‐first century remote sensing technologies are revolutionizing the study of tropical forests","year":2017,"lang":"en","type":"article","venue":"Biotropica","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Inter-American Institute for Global Change Research","keywords":"Nexus (standard); Emerging technologies; Data science; Remote sensing; Field (mathematics); Analytics; Perspective (graphical); Computer science; Ecology; Geography; Artificial intelligence; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003051149,0.0005649776,0.000415199,0.001950996,0.0006321321,0.003212057,0.0008353943,0.001299136,0.003760312],"category_scores_gemma":[0.002923775,0.0002260825,0.0004771315,0.002029667,0.003156848,0.005320576,0.002128921,0.002117714,0.0008113643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001346986,"about_ca_system_score_gemma":0.001194648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002289781,"about_ca_topic_score_gemma":0.004170438,"domain_scores_codex":[0.9989665,0.0003042612,0.00005886649,0.0001009289,0.0004823009,0.00008719057],"domain_scores_gemma":[0.9970312,0.001655428,0.0003731566,0.0002212666,0.0004993139,0.0002195173],"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":[0.00006795209,0.0001217929,0.01083595,0.002659563,0.0001147275,0.0006764383,0.002405256,0.005148386,0.01711592,0.2741674,0.02989063,0.656796],"study_design_scores_gemma":[0.00001104653,0.00008669274,0.01159064,0.001186237,0.00003833582,0.0009488101,0.001958883,0.002236857,0.00270536,0.1388291,0.8403064,0.000101652],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.04341567,0.6794397,0.1066458,0.1005878,0.006461234,0.0001314671,0.0008710015,0.0005902153,0.06185716],"genre_scores_gemma":[0.2239859,0.6423971,0.100124,0.01197178,0.01001704,0.0001146185,0.000464395,0.0001303707,0.01079479],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003760312,"threshold_uncertainty_score":0.01613623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01993324811427944,"score_gpt":0.2512443118927998,"score_spread":0.2313110637785203,"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."}}