{"id":"W4407699171","doi":"10.2139/ssrn.5138905","title":"Developing a Semi-Supervised Strategy in Time Series Mapping of Wetland Covers: A Case Study of Zrebar Wetland, Iran","year":2025,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Wetland; Series (stratigraphy); Geography; Hydrology (agriculture); Environmental science; Environmental resource management; Remote sensing; Water resource management; Geology; Ecology; Biology; Geotechnical engineering","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":[0.001319317,0.0006361142,0.0005224048,0.001348399,0.0003495784,0.0007507814,0.0008210932,0.0004782394,0.000569809],"category_scores_gemma":[0.001683173,0.0001812234,0.0005561411,0.0009821169,0.0001847495,0.0006437789,0.0004556085,0.0002936163,0.0001817717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003487263,"about_ca_system_score_gemma":0.0009487845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01549885,"about_ca_topic_score_gemma":0.01989896,"domain_scores_codex":[0.999553,0.0001705816,0.00003050662,0.0001201499,0.00006230032,0.00006339067],"domain_scores_gemma":[0.9991871,0.0004389537,0.0000780665,0.00004220402,0.0002030052,0.00005076455],"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":[0.0004006715,0.0009203272,0.04057265,0.0003311477,0.0002802506,0.0007044082,0.001145518,0.3008868,0.02882711,0.001569429,0.004194717,0.620167],"study_design_scores_gemma":[0.000009903431,0.00006910613,0.006833853,0.000005196987,0.00003299384,0.00005094653,0.0003770738,0.9892752,0.002357014,0.0004734868,0.0005061507,0.000009058357],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6451655,0.0002058366,0.3503422,0.0002278898,0.00003660523,0.000205162,0.0005262865,0.001042407,0.00224811],"genre_scores_gemma":[0.8759752,0.00005926827,0.1225554,0.00002289685,0.00001712878,0.00005766202,0.0005460234,0.00003457856,0.0007319436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01549885,"threshold_uncertainty_score":0.03081727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01108064920872213,"score_gpt":0.2322932981878036,"score_spread":0.2212126489790815,"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."}}