{"id":"W1910129377","doi":"10.7773/cm.v30i11.121","title":"Use of digital multispectral videography to assess seagrass distribution in San Quintín Bay, Baja California, Mexico","year":2004,"lang":"en","type":"article","venue":"Ciencias Marinas","topic":"Marine and coastal plant biology","field":"Earth and Planetary Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ducks Unlimited Canada","funders":"U.S. Geological Survey; U.S. Fish and Wildlife Service","keywords":"Seagrass; Bay; Zostera marina; Intertidal zone; Videography; Oceanography; Habitat; Zostera; Environmental science; Estuary; Geography; Fishery; Ecology; Geology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001980326,0.0001683216,0.000241515,0.0001708333,0.00006864568,0.0000935036,0.0002630853,0.00009490559,0.0002619706],"category_scores_gemma":[0.0001735203,0.0001442941,0.00009350946,0.0007142,0.0001178692,0.0004079614,0.00006973695,0.0001547451,0.00009770815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001841384,"about_ca_system_score_gemma":0.00007952913,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02414037,"about_ca_topic_score_gemma":0.07225753,"domain_scores_codex":[0.9985852,0.00003974883,0.0003208645,0.0003529757,0.0002414808,0.0004597524],"domain_scores_gemma":[0.9993582,0.0001211651,0.00008012188,0.000196827,0.00004956563,0.0001941438],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006955257,0.00006314548,0.9610265,0.000009534288,0.000006666908,0.00003987211,0.00003738619,0.001472934,0.00009331243,0.0002613434,0.0001350281,0.03678472],"study_design_scores_gemma":[0.0002636367,0.0003310817,0.9888989,0.00001755991,0.00000625271,0.00002647812,0.0000847647,0.0004018141,0.0006545789,0.001055782,0.008049061,0.0002101463],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913579,0.00001811999,0.001247696,0.0001481363,0.0001390451,0.0002132443,0.001232243,0.00003329498,0.005610283],"genre_scores_gemma":[0.9983619,0.00001110182,0.0003193052,0.0001367403,0.00003241503,0.000002080171,0.0009895285,0.000002881443,0.0001440773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04811716,"threshold_uncertainty_score":0.982358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03031826949193661,"score_gpt":0.2286688785659307,"score_spread":0.1983506090739941,"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."}}