{"id":"W2809230457","doi":"","title":"EVALUATING SATELLITE DERIVED BATHYMETRY IN REGARD TO TOTAL PROPAGATED UNCERTAINTY, MULTI-TEMPORAL CHANGE DETECTION, AND MULTIPLE NON-LINEAR ESTIMATION","year":2017,"lang":"en","type":"article","venue":"University of New Hampshire Scholars Repository (University of New Hampshire at Manchester)","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bathymetry; Remote sensing; Satellite; Change detection; Estimation; Geodesy; Environmental science; Computer science; Geography; Cartography; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001895153,0.0007678582,0.0005034855,0.002560111,0.000255548,0.00102382,0.0004198,0.0004402543,0.0006197424],"category_scores_gemma":[0.005479638,0.0002129649,0.0006139313,0.001912644,0.0002726488,0.001547234,0.0006815909,0.0003255476,0.000134414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005654331,"about_ca_system_score_gemma":0.0009858096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01426858,"about_ca_topic_score_gemma":0.02514619,"domain_scores_codex":[0.9991722,0.0001311709,0.00008591005,0.0001420559,0.0003981281,0.00007051298],"domain_scores_gemma":[0.9978655,0.0008444631,0.00030141,0.0001431755,0.000771675,0.00007385299],"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":[0.0002034179,0.0001359849,0.1775019,0.0003727129,0.0004069517,0.0004035224,0.0002380645,0.5008259,0.01849429,0.001709405,0.0008036777,0.2989042],"study_design_scores_gemma":[0.000009918722,0.000125347,0.08096941,0.00002801149,0.0000696955,0.00009757373,0.0001853543,0.9111264,0.005775388,0.0007540291,0.0008169943,0.00004179707],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6663334,0.001061395,0.3281315,0.0001668847,0.00007770103,0.0001609943,0.0009684036,0.0004281516,0.002671539],"genre_scores_gemma":[0.9313582,0.0003435254,0.06637882,0.00002197563,0.00002691654,0.00004503268,0.00105692,0.00004558845,0.0007230628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01426858,"threshold_uncertainty_score":0.02837104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04768188567642466,"score_gpt":0.2659264577054732,"score_spread":0.2182445720290486,"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."}}