{"id":"W2611249586","doi":"10.1117/1.jrs.11.026012","title":"<i>In silico</i> analysis of decomposed reflectances of C3 and C4 plants aiming at the effective assessment of crop needs","year":2017,"lang":"en","type":"article","venue":"Journal of Applied Remote Sensing","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hyperspectral imaging; Remote sensing; Environmental science; Reflectivity; Polarization (electrochemistry); Crop; Sensitivity (control systems); Biological system; Agronomy; Optics; Geology; Chemistry; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009656174,0.0001666553,0.0007305212,0.0001873961,0.0001888862,0.00002845448,0.0002540669,0.00009470709,0.00000899878],"category_scores_gemma":[0.00005869092,0.0001028927,0.000174044,0.0003905793,0.0004611974,0.0001210839,0.0001932962,0.0002742685,4.62047e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001896844,"about_ca_system_score_gemma":0.00001698891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003765679,"about_ca_topic_score_gemma":0.0007250782,"domain_scores_codex":[0.9982842,0.0001003858,0.0006879734,0.0001750469,0.0005595776,0.0001928374],"domain_scores_gemma":[0.9971344,0.0003438862,0.002048862,0.0003645746,0.00004824788,0.00005996116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001734654,0.00002763401,0.003238544,0.00002354842,0.0003020108,0.00001789465,0.00156532,0.02024369,0.9302571,0.000004356773,0.00005277378,0.04409361],"study_design_scores_gemma":[0.001112474,0.0001698761,0.4956962,0.000348152,0.0007286564,0.0001345164,0.001106833,0.0534458,0.4465227,0.000354311,0.0001573886,0.0002231886],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896457,0.00005123776,0.0004831114,0.0001453131,0.0001082041,0.0001760276,0.00000225378,0.00000206023,0.009386121],"genre_scores_gemma":[0.985163,0.00006707275,0.01465835,0.0000490315,0.0000349464,8.707731e-9,5.343815e-7,0.000009256122,0.00001777703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4924576,"threshold_uncertainty_score":0.4195842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008024130953758857,"score_gpt":0.2772841633899071,"score_spread":0.2692600324361482,"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."}}