{"id":"W3013521076","doi":"","title":"Assessing high-resolution remotely sensed data for mapping and monitoring wetlands in southern Ontario, Canada","year":2003,"lang":"en","type":"article","venue":"PhDT","topic":"Soil erosion and sediment transport","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Wetland; Remote sensing; Geography; Cartography; Environmental resource management; Physical geography; Environmental science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001821873,0.00006795113,0.00009036338,0.000006041704,0.0001175306,0.00004682464,0.00008456723,0.00003692109,0.00003414814],"category_scores_gemma":[0.00002371581,0.00003049421,0.00001051136,0.00007730816,0.000008847413,0.0001054817,0.00001390647,0.0000628398,4.744073e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005766645,"about_ca_system_score_gemma":0.00004095593,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8757856,"about_ca_topic_score_gemma":0.9809337,"domain_scores_codex":[0.9993845,0.00001927576,0.000120914,0.0002031443,0.0001061938,0.0001660075],"domain_scores_gemma":[0.9997824,0.00007480388,0.00003004905,0.00005130717,0.00001391656,0.00004750768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002618228,0.00004106647,0.8549022,0.00001448026,0.000008739921,0.00001235047,0.0004995334,0.00002381827,0.1197838,0.00004645155,0.000418945,0.02422245],"study_design_scores_gemma":[0.0003030515,0.00001734422,0.9825962,0.00004279601,0.000005589755,0.000002181573,0.001944172,0.0003234747,0.0006729238,0.00006974785,0.01389544,0.0001270538],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991938,0.00004023794,0.00002266724,0.0002510306,0.0001907827,0.00009022196,0.00002396867,0.00001366743,0.0001736289],"genre_scores_gemma":[0.9991161,0.00000467306,0.0004032586,0.00005917703,0.00006796472,0.00000229258,0.0001085713,6.550774e-7,0.0002373585],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.127694,"threshold_uncertainty_score":0.1250416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08286151395470799,"score_gpt":0.2480308232817349,"score_spread":0.1651693093270269,"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."}}