{"id":"W2046127011","doi":"10.1080/17429140500396958","title":"Efficacy of different indices derived from spectral reflectance of wheat for nitrogen stress detection","year":2005,"lang":"en","type":"article","venue":"Journal of Plant Interactions","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; University of Toronto","funders":"","keywords":"Hyperspectral imaging; Canopy; Nitrogen; Normalized Difference Vegetation Index; Crop; Spectral index; Environmental science; Reflectivity; Spectral bands; Growing season; Agronomy; Mathematics; Remote sensing; Leaf area index; Spectral line; Chemistry; Botany; Geography; Biology","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":[0.000673255,0.0002903294,0.0002060821,0.0004191837,0.0000724393,0.0003599044,0.0001295041,0.0002322473,0.0002416472],"category_scores_gemma":[0.0008368997,0.0001093166,0.000146212,0.0002472406,0.0001268934,0.0002522384,0.0001204731,0.0002039259,0.0001178283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001194162,"about_ca_system_score_gemma":0.00008021327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004369742,"about_ca_topic_score_gemma":0.0006404009,"domain_scores_codex":[0.9998066,0.00007205045,0.00001019138,0.00004442906,0.00005500459,0.00001168263],"domain_scores_gemma":[0.999584,0.0001708392,0.00006525186,0.00003104147,0.0001169543,0.00003186409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001910969,0.0003065073,0.05607104,0.0001524907,0.00009850266,0.00003844951,0.00007546867,0.005168704,0.8615869,0.00009122483,0.0001393939,0.0743603],"study_design_scores_gemma":[0.00005671722,0.001786811,0.4819657,0.00002850714,0.0002083727,0.0002737757,0.0001437435,0.1015195,0.413024,0.000207337,0.0007242482,0.00006135718],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913215,0.0002778528,0.007552137,0.00001046677,0.000007549587,0.00001082963,0.00009260191,0.00005649898,0.0006705371],"genre_scores_gemma":[0.9931632,0.0001365181,0.0062933,0.00001004301,0.000004083513,0.00001068543,0.0001905621,0.000008270531,0.0001834036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000673255,"threshold_uncertainty_score":0.003560543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01199588392711128,"score_gpt":0.2522801934768594,"score_spread":0.2402843095497481,"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."}}