{"id":"W4402260873","doi":"10.1109/igarss53475.2024.10641668","title":"Global Delineation of Optically Shallow and Optically Deep Water Using Machine Learning","year":2024,"lang":"en","type":"article","venue":"","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Waves and shallow water; Artificial intelligence; Optically active; Geology; Remote sensing; Oceanography; Chemistry","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":[0.0006359706,0.0005766747,0.0004256865,0.0009153067,0.0002169152,0.0005686838,0.000538339,0.0004296534,0.0005242184],"category_scores_gemma":[0.000945138,0.000229342,0.0006797651,0.0006751177,0.0003090364,0.0007857539,0.0006009432,0.0004136409,0.0002135269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000587853,"about_ca_system_score_gemma":0.0007524685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01658261,"about_ca_topic_score_gemma":0.02543647,"domain_scores_codex":[0.9998174,0.0000235114,0.000008501664,0.00008562842,0.00002743575,0.00003758629],"domain_scores_gemma":[0.9997482,0.00008904875,0.00005131265,0.00002846424,0.00006515828,0.00001770651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001019688,0.0001034173,0.04699231,0.00005612771,0.00008069129,0.00008667923,0.00009663378,0.8109338,0.01255037,0.00143565,0.001351782,0.1262106],"study_design_scores_gemma":[0.000006386174,0.00001473668,0.004826417,0.000007470881,0.00001003824,0.00001149379,0.00002013847,0.9919977,0.001392828,0.001374212,0.0003288164,0.000009786127],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4136938,0.0003773092,0.581345,0.0002231859,0.00003369318,0.00007713586,0.00102536,0.001354966,0.001869537],"genre_scores_gemma":[0.8905613,0.0001025649,0.107131,0.00007577379,0.0000184144,0.00005767073,0.001224748,0.0001092645,0.0007193777],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01658261,"threshold_uncertainty_score":0.03297216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02246178593489679,"score_gpt":0.272207989691248,"score_spread":0.2497462037563512,"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."}}