{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001851432,0.00004583702,0.00005166008,0.0002071038,0.00009813711,0.00004509853,0.0001951243,0.00003511577,0.000003660725],"category_scores_gemma":[0.00001105551,0.00004606539,0.0000360993,0.001138223,0.00001809725,0.00035883,0.00004801629,0.00003126232,0.00005071742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002339504,"about_ca_system_score_gemma":0.00001455927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001509892,"about_ca_topic_score_gemma":0.00001035773,"domain_scores_codex":[0.999389,0.00001617431,0.0002253051,0.0001632079,0.0001189862,0.00008731534],"domain_scores_gemma":[0.9994693,0.00001814007,0.0001250141,0.0002714869,0.00009397506,0.00002212623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000002352783,0.00002690429,0.001607152,0.00001299016,0.000007500678,5.018027e-7,0.0002339671,0.0007571002,0.8258079,0.07362216,0.00004660889,0.09787487],"study_design_scores_gemma":[0.00004710745,0.00003320858,0.09915469,0.000002630031,0.000003289507,0.000003539439,0.00002341566,0.4114708,0.4798173,0.009259683,0.0001169032,0.00006739466],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4288495,0.000001286082,0.5705121,0.00003092645,0.00003512466,0.00007514267,5.797326e-7,0.0003270266,0.0001683583],"genre_scores_gemma":[0.985366,0.00000431566,0.01432193,0.000009144163,0.00001317003,0.00002498959,0.000001583482,0.000004460378,0.0002543853],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5565166,"threshold_uncertainty_score":0.1878492,"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."}}