{"id":"W2058318771","doi":"10.1007/s11442-008-0443-4","title":"Feasibility study on the binary-parameter retrieval model of ocean suspended sediment concentration based on MODIS data","year":2008,"lang":"en","type":"article","venue":"Journal of Geographical Sciences","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Radiance; Sediment; Grain size; Environmental science; Principal component analysis; Binary number; Soil science; Remote sensing; Stability (learning theory); Computer science; Geology; Statistics; Mathematics; Machine learning; Geomorphology","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":[0.001411073,0.0004484442,0.0003723275,0.0001935336,0.0003545077,0.0005469715,0.0007716067,0.0007747488,0.001313584],"category_scores_gemma":[0.003206603,0.0002848692,0.0004002567,0.0002358921,0.0002486093,0.001611282,0.0004135768,0.0005267537,0.0002401716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003500111,"about_ca_system_score_gemma":0.001055268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01276814,"about_ca_topic_score_gemma":0.003749266,"domain_scores_codex":[0.9996208,0.0001460784,0.00001692474,0.00009160891,0.00009196983,0.00003261809],"domain_scores_gemma":[0.9988635,0.0005792085,0.00004406348,0.0001190949,0.0003469521,0.00004721005],"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":[0.003237532,0.0009293358,0.04016396,0.0003614278,0.0002157552,0.000841348,0.0002637684,0.6175402,0.2069278,0.009561401,0.002663233,0.1172943],"study_design_scores_gemma":[0.00005615835,0.00009588976,0.001323052,0.000002937477,0.00001928971,0.0000234219,0.00002715861,0.9927171,0.005234949,0.0003179792,0.0001699354,0.00001206164],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7618099,0.0001834239,0.2340256,0.0006458953,0.00009811634,0.0001488279,0.000252362,0.0005146172,0.002321283],"genre_scores_gemma":[0.9636727,0.00008677259,0.03504234,0.00004230249,0.00002112805,0.00004759509,0.000287372,0.00003308479,0.0007667217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01276814,"threshold_uncertainty_score":0.02538764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09083559169667432,"score_gpt":0.2929021891717959,"score_spread":0.2020665974751216,"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."}}