{"id":"W2091810257","doi":"10.3402/tellusb.v66.23279","title":"Close relationship between spectral vegetation indices and V&lt;sub&gt;cmax&lt;/sub&gt; in deciduous and mixed forests","year":2014,"lang":"en","type":"article","venue":"Tellus B","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Normalized Difference Vegetation Index; Deciduous; Mathematics; Eddy covariance; Atmospheric sciences; Vegetation (pathology); Geography; Leaf area index; Ecosystem; Ecology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003780323,0.0001427979,0.0001560242,0.0001014959,0.0001247583,0.00005491811,0.0001026406,0.000126738,0.00001229098],"category_scores_gemma":[0.0000651652,0.0001366162,0.0000236069,0.0001984497,0.0001435565,0.0002567293,0.00008675335,0.000162109,0.0000829792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007354537,"about_ca_system_score_gemma":0.000006326905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007004201,"about_ca_topic_score_gemma":0.003273605,"domain_scores_codex":[0.9989167,0.00008591391,0.0002430765,0.0002975627,0.0002114347,0.0002452401],"domain_scores_gemma":[0.9994057,0.0002377029,0.00009091897,0.0001549848,0.000003588216,0.0001070905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00000870532,0.00001712836,0.9873765,0.00001006056,0.000004356543,0.0000048326,0.0004528554,0.0008675054,0.001430255,0.001000991,0.00002007862,0.00880675],"study_design_scores_gemma":[0.0004434102,0.00005276036,0.9726955,0.00002140512,0.0000224369,0.00001371934,0.000006502186,0.01229166,0.0004921967,0.01354589,0.0002411863,0.0001732835],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960331,0.000123339,0.0004379684,0.00008802186,0.00005307404,0.0001900714,0.000008988921,0.00003728915,0.003028192],"genre_scores_gemma":[0.9992417,0.00004224052,0.0004902455,0.0000247485,0.00004206329,0.000008726458,0.00004983718,0.00001405848,0.00008634885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01468093,"threshold_uncertainty_score":0.5571048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009736090258557954,"score_gpt":0.2065540756968569,"score_spread":0.1968179854382989,"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."}}