{"id":"W4321781533","doi":"10.1029/2022gl101985","title":"Low‐Altitude UAV Imaging Accurately Quantifies Eelgrass Wasting Disease From Alaska to California","year":2023,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Marine and coastal plant biology","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Tula Foundation","funders":"Hakai Institute; Tula Foundation; Smithsonian Institution; National Science Foundation","keywords":"Seagrass; Altitude (triangle); Intertidal zone; Environmental science; Mass wasting; Habitat; Remote sensing; Geography; Physical 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":[0.0001356096,0.0001661912,0.0001267333,0.0004364301,0.0002297434,0.0004123897,0.0001406655,0.0001137147,0.0003633354],"category_scores_gemma":[0.0002484224,0.00009629918,0.00007821545,0.0002385724,0.0001128622,0.0001969586,0.0001320922,0.0001386836,0.00006225783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003223449,"about_ca_system_score_gemma":0.0001698094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05349892,"about_ca_topic_score_gemma":0.1226756,"domain_scores_codex":[0.9999319,0.000007917661,0.000003988924,0.00002675388,0.00001716323,0.00001234435],"domain_scores_gemma":[0.999816,0.00003502261,0.00004595432,0.00001179408,0.00006742562,0.00002373684],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001301087,0.00007053959,0.9234654,0.00004351363,0.00004180373,0.00007406811,0.0002429659,0.00186129,0.05676061,0.00002519264,0.0002267952,0.01705775],"study_design_scores_gemma":[0.000003042291,0.00005800161,0.9894158,0.00001259139,0.00002921835,0.00004886061,0.0004068651,0.005403298,0.004326514,0.00001443495,0.0002770722,0.00000432405],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989344,0.00005427596,0.000436983,0.000004893252,0.000002266293,0.000004819751,0.0001256172,0.00002082684,0.000415967],"genre_scores_gemma":[0.9987733,0.00004677206,0.0008125305,0.000006753214,0.000001180339,0.000003280712,0.0001892643,0.000002412884,0.0001645808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05349892,"threshold_uncertainty_score":0.106375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05759219415226625,"score_gpt":0.312546929656124,"score_spread":0.2549547355038577,"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."}}