{"id":"W2548437618","doi":"10.1109/igarss.2016.7730860","title":"Hyperspectral chlorophyll indices sensitivity analysis to soil backgrounds in agrirultural aplications using field, Probe-1 and Hyperion data","year":2016,"lang":"en","type":"article","venue":"","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"Arabian Gulf University","keywords":"Hyperspectral imaging; Remote sensing; Environmental science; Satellite; Soil water; Soil science; Geology; Physics","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":[0.0005972699,0.0003433427,0.0001873117,0.0008061182,0.0001296416,0.0003625125,0.0002028419,0.0002712487,0.000371852],"category_scores_gemma":[0.001069629,0.000131596,0.0002571606,0.0006610425,0.0001704515,0.000386082,0.0003713152,0.0001626243,0.0001628499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002771732,"about_ca_system_score_gemma":0.0001274583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002860742,"about_ca_topic_score_gemma":0.004413993,"domain_scores_codex":[0.999675,0.00006987726,0.00001741739,0.00009692286,0.000101147,0.00003955606],"domain_scores_gemma":[0.9995542,0.0002061152,0.0000665406,0.00006536931,0.00008477751,0.00002308542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001414687,0.000333067,0.2312059,0.0002309037,0.0003097892,0.0003412576,0.0003952037,0.07637347,0.5179266,0.0003786276,0.000775182,0.1703153],"study_design_scores_gemma":[0.00004633347,0.0002884489,0.7285666,0.00001851861,0.0001564726,0.0002279646,0.0002534051,0.1609726,0.1075672,0.0003333195,0.001517938,0.00005133644],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925841,0.00008208933,0.00615304,0.00001454231,0.00000436413,0.00001680398,0.0003044598,0.0001218791,0.0007187008],"genre_scores_gemma":[0.9886401,0.00008299031,0.009876057,0.00002276121,0.000005868688,0.00002169611,0.001046177,0.00002637906,0.0002780043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002860742,"threshold_uncertainty_score":0.005688131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02407990618298885,"score_gpt":0.2615079431014463,"score_spread":0.2374280369184574,"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."}}