{"id":"W2169309555","doi":"10.1007/s00442-010-1901-0","title":"Tracking plant physiological properties from multi-angular tower-based remote sensing","year":2011,"lang":"en","type":"article","venue":"Oecologia","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":81,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Remote sensing; Bidirectional reflectance distribution function; Canopy; Chlorophyll; Hyperspectral imaging; Atmospheric sciences; Biology; Biological system; Environmental science; Reflectivity; Botany; Optics; Physics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001466507,0.000226152,0.0002331805,0.0000166128,0.0001598333,0.0000331167,0.000245505,0.0002267539,0.001331703],"category_scores_gemma":[0.0001448206,0.0001416534,0.00008968009,0.0001139214,0.0002592348,0.00009899052,0.0001461778,0.0002616229,0.000708223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001549379,"about_ca_system_score_gemma":0.000009393934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00118134,"about_ca_topic_score_gemma":0.0003841102,"domain_scores_codex":[0.9985564,0.0001240653,0.0002188865,0.000498189,0.0002113313,0.0003911818],"domain_scores_gemma":[0.9994375,0.00004558065,0.0001091176,0.0003050651,0.00001258438,0.00009015419],"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":[0.00007382972,0.0001673254,0.006156078,0.000005613481,0.00002665155,0.0002761924,0.001091952,0.001143297,0.9560601,0.000001486561,0.003693543,0.03130401],"study_design_scores_gemma":[0.0006049778,0.0002204329,0.7285919,0.00006645171,0.00004088359,0.00002383476,0.0002564611,0.07450304,0.1932522,0.0002431377,0.001585237,0.0006114591],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933859,0.00002571405,0.002740677,0.00007715714,0.0002817543,0.0002420293,0.000007231914,0.0001986559,0.003040937],"genre_scores_gemma":[0.9037565,0.000003073813,0.09535737,0.000525074,0.00005954119,1.68369e-7,0.000017924,0.00001391639,0.0002664456],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7628078,"threshold_uncertainty_score":0.9995812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07855601383713758,"score_gpt":0.2192926116481106,"score_spread":0.140736597810973,"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."}}