{"id":"W4390693085","doi":"10.1109/icitr61062.2023.10382919","title":"Early Identification of Deforestation using Anomaly Detection","year":2023,"lang":"en","type":"article","venue":"","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Anomaly detection; Identification (biology); Deforestation (computer science); Computer science; Anomaly (physics); Remote sensing; Artificial intelligence; Geology","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":[0.001005371,0.0007242689,0.0008163599,0.002279938,0.0002982216,0.0009426824,0.001021182,0.0007347171,0.000505393],"category_scores_gemma":[0.003341503,0.0001927697,0.0005922788,0.001390643,0.0004437249,0.001491674,0.0007590486,0.001097586,0.0002372909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006407208,"about_ca_system_score_gemma":0.0008658086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006166665,"about_ca_topic_score_gemma":0.008465372,"domain_scores_codex":[0.9995029,0.00005275223,0.00004391846,0.0001531952,0.0001578778,0.0000892922],"domain_scores_gemma":[0.9985412,0.0005137915,0.0002857679,0.0001263835,0.0004519563,0.00008079672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005582772,0.0006025508,0.1577803,0.0003623295,0.0002564847,0.0005691992,0.0004136872,0.2316638,0.03960303,0.004917456,0.004994557,0.5582784],"study_design_scores_gemma":[0.000006365387,0.00006865864,0.01922584,0.00002222503,0.00002061324,0.0001340834,0.0001053738,0.9658251,0.01029141,0.003049069,0.001233165,0.00001822275],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3625066,0.001100621,0.6276855,0.0006596118,0.0001498547,0.000194162,0.001516947,0.003695154,0.002491471],"genre_scores_gemma":[0.8533733,0.0004170107,0.1435352,0.00009115299,0.00007405804,0.00006341488,0.001641097,0.00006189209,0.000742886],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006166665,"threshold_uncertainty_score":0.01226157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02302292294167795,"score_gpt":0.277424904698875,"score_spread":0.2544019817571971,"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."}}