{"id":"W2031880404","doi":"10.1007/bf02803661","title":"Long-term change in eelgrass distribution at Bahía San Quintín, Baja California, Mexico, using satellite imagery","year":2003,"lang":"en","type":"article","venue":"Estuaries","topic":"Marine and coastal plant biology","field":"Earth and Planetary Sciences","cited_by":73,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ducks Unlimited Canada","funders":"U.S. Fish and Wildlife Service; Institute for Wetland and Waterfowl Research, Ducks Unlimited Canada","keywords":"Zostera marina; Intertidal zone; Bay; Environmental science; Estuary; Ecosystem; Satellite imagery; Wetland; Oceanography; Seagrass; Geography; Ecology; Geology; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002088297,0.0001675544,0.0001318416,0.0006159566,0.0003584179,0.0004794736,0.0003410352,0.0003040272,0.0007584264],"category_scores_gemma":[0.0005758429,0.0001347703,0.0001265822,0.0007526719,0.0001958414,0.00028248,0.0003407172,0.0002259664,0.00009309035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001142286,"about_ca_system_score_gemma":0.0004953666,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5779788,"about_ca_topic_score_gemma":0.7899894,"domain_scores_codex":[0.9999386,0.000006538699,0.000004996236,0.00002435931,0.00001091548,0.00001452361],"domain_scores_gemma":[0.999694,0.00004314067,0.00009730562,0.00001554368,0.000107139,0.00004282801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001574279,0.00003681013,0.9903653,0.00002946001,0.0001114511,0.00006270494,0.0004257566,0.0008338657,0.001154496,0.00006468059,0.001171246,0.005586871],"study_design_scores_gemma":[0.00000617646,0.000005945058,0.9985887,0.000006485232,0.00002409329,0.000009868072,0.0002983866,0.0003983942,0.00006819791,0.000004557894,0.0005873241,0.000001754342],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971114,0.0001157577,0.00005257535,0.00009413767,0.000006060195,0.000004188789,0.001901261,0.00001367616,0.0007009922],"genre_scores_gemma":[0.995972,0.0002275838,0.0002975102,0.00003017306,0.000009930179,0.00001532764,0.002459914,0.000004318064,0.0009831998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5779788,"threshold_uncertainty_score":0.849013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02731314909408499,"score_gpt":0.2355629274290136,"score_spread":0.2082497783349286,"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."}}