{"id":"W1978357717","doi":"10.1080/07438140009354228","title":"Use of a Remote Operated Vehicle and Sonar to Characterize and Estimate the Distribution of Benthic Vegetation in Waldo Lake, Oregon","year":2000,"lang":"en","type":"article","venue":"Lake and Reservoir Management","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Medicine Hat College","funders":"","keywords":"Benthic zone; Remotely operated vehicle; Sonar; Whorl (mollusc); Vegetation (pathology); Geology; Remotely operated underwater vehicle; Environmental science; Remote sensing; Hydrology (agriculture); Oceanography; Paleontology","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":[0.0001834087,0.00006602755,0.0001094736,0.00001964098,0.00005688125,0.00002031958,0.00005474632,0.00003101598,0.0000870353],"category_scores_gemma":[0.000005716539,0.00004504082,0.000008524859,0.0001272516,0.00008643782,0.0001081983,0.0001226643,0.0000410184,0.000002888411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008693311,"about_ca_system_score_gemma":0.000001146638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003159954,"about_ca_topic_score_gemma":0.00767144,"domain_scores_codex":[0.9994487,0.00003341354,0.0001504904,0.0001599933,0.00008744464,0.0001199258],"domain_scores_gemma":[0.9998035,0.00001905317,0.0000334568,0.000103154,0.000004310877,0.00003648304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005289833,0.0001882041,0.722831,0.0002774085,0.00005622004,0.00004661706,0.001635703,0.004857491,0.003622662,0.0004537241,0.0005723151,0.2649297],"study_design_scores_gemma":[0.0003802223,0.00009844611,0.9763538,0.00004666911,0.00001249947,0.00000210122,0.00001875227,0.009426963,0.0001376271,0.0001181295,0.01335125,0.00005355604],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982966,0.00004230086,0.00002757184,0.001095282,0.000007960523,0.0002525517,0.00002149212,0.000004397716,0.0002518846],"genre_scores_gemma":[0.9986098,0.0007045143,0.0002130535,0.00008762024,0.000003371046,0.000006548051,0.00005180901,0.000003227913,0.0003200231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2648762,"threshold_uncertainty_score":0.4280844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01445888165672957,"score_gpt":0.2339748177525462,"score_spread":0.2195159360958166,"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."}}