{"id":"W6894348995","doi":"10.5683/sp2/xobm8p","title":"Mapping Mangrove Forest Land Cover Change in Kampong Som Bay, Cambodia from 2015 to 2020","year":2021,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Mangrove; Deforestation (computer science); Ecosystem services; Land use; Land cover; Ecosystem; Mangrove ecosystem; Tropics","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":[0.0001961252,0.0002797113,0.0001273176,0.0009192046,0.0002169882,0.0003858279,0.0002205281,0.0002321282,0.0009367116],"category_scores_gemma":[0.0003090123,0.0001129186,0.000196952,0.001238321,0.0001941172,0.0003467736,0.0004220858,0.000158157,0.0001418441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006828096,"about_ca_system_score_gemma":0.0004278076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09141014,"about_ca_topic_score_gemma":0.1567983,"domain_scores_codex":[0.9999249,0.000009430075,0.000007018478,0.00002402278,0.00001077713,0.00002383361],"domain_scores_gemma":[0.9998487,0.00001652749,0.00004084235,0.00001008721,0.0000491037,0.00003467202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005835894,0.00002565567,0.9724956,0.000180678,0.00005495736,0.0004931188,0.001062634,0.001063002,0.003814753,0.0001156437,0.0014089,0.01922668],"study_design_scores_gemma":[0.000001743746,0.000009354037,0.9963236,0.00004470271,0.00001158951,0.00005330418,0.001365955,0.001118919,0.0002005616,0.00001351038,0.000853427,0.000003391616],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9947695,0.0003867455,0.0001693269,0.00008318016,0.000007107841,0.00001790037,0.003550457,0.00001295185,0.001002797],"genre_scores_gemma":[0.9964591,0.0002143238,0.0003368507,0.00002810689,0.000003067819,0.00002716084,0.002560623,0.000002599055,0.0003681842],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.09141014,"threshold_uncertainty_score":0.1817561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03277778891196802,"score_gpt":0.2846391339653965,"score_spread":0.2518613450534285,"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."}}