{"id":"W1581809205","doi":"","title":"SHOALS Object Detection","year":2010,"lang":"en","type":"article","venue":"The International Hydrographic Review","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Optech (Canada)","funders":"","keywords":"Shoal; Bathymetry; Underwater; Lidar; Hydrography; Object detection; Remote sensing; Hydrographic survey; Object (grammar); Computer science; Geography; Identification (biology); Geology; Artificial intelligence; Cartography; Oceanography; Pattern recognition (psychology); Archaeology; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005936114,0.0007698283,0.0006066707,0.002377981,0.0006277409,0.001537531,0.001116082,0.0008938995,0.003672359],"category_scores_gemma":[0.001224713,0.0003653686,0.0004865417,0.001307019,0.0005611369,0.001415538,0.001878372,0.0003817926,0.003974863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003285063,"about_ca_system_score_gemma":0.0004116938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002143145,"about_ca_topic_score_gemma":0.003413762,"domain_scores_codex":[0.9990833,0.00006846817,0.00003311858,0.0001922196,0.0005014584,0.0001215118],"domain_scores_gemma":[0.999169,0.0001116859,0.00007445827,0.0001367384,0.000467157,0.00004104462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003929312,0.00007911917,0.008634533,0.0006016519,0.0000896288,0.0005855431,0.0004049857,0.004212175,0.1231349,0.006540758,0.01380212,0.8415217],"study_design_scores_gemma":[0.00006086242,0.0004799488,0.04022442,0.0002615291,0.0001967257,0.006015697,0.001747489,0.2038541,0.4532528,0.008954211,0.2847234,0.0002288158],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1495741,0.004456489,0.7718909,0.0006554136,0.0006867726,0.0002672407,0.001039732,0.005550254,0.06587912],"genre_scores_gemma":[0.6035981,0.003075936,0.3474863,0.0005260773,0.0001929794,0.0001308057,0.002504279,0.0004198248,0.04206584],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003672359,"threshold_uncertainty_score":0.01228529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008611708878785299,"score_gpt":0.2553229660264898,"score_spread":0.2467112571477045,"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."}}