{"id":"W2802742804","doi":"10.1038/s41559-018-0551-1","title":"Plant spectral diversity integrates functional and phylogenetic components of biodiversity and predicts ecosystem function","year":2018,"lang":"en","type":"article","venue":"Nature Ecology & Evolution","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":288,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Biodiversity; Phylogenetic diversity; Ecosystem; Species richness; Abundance (ecology); Phylogenetic tree; Biology; Ecology; Relative species abundance; Beta diversity; Species diversity","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":[0.0008216696,0.0003914849,0.0003248797,0.002050671,0.000366287,0.000996856,0.0003060481,0.0006057543,0.0013962],"category_scores_gemma":[0.002009694,0.0003647394,0.0003795253,0.00103406,0.000540373,0.001413792,0.0006712133,0.0003587934,0.0004539127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003267817,"about_ca_system_score_gemma":0.0001394723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002261359,"about_ca_topic_score_gemma":0.004289167,"domain_scores_codex":[0.9996771,0.0001049003,0.00001450193,0.00009610681,0.00005565228,0.00005178036],"domain_scores_gemma":[0.9987348,0.0005808861,0.0002572379,0.0001455031,0.000149833,0.0001318284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001871905,0.0001261092,0.8922372,0.00004939789,0.0003788543,0.00007046809,0.00017759,0.01351954,0.06500003,0.0007975708,0.0003037492,0.02715229],"study_design_scores_gemma":[0.000004833803,0.0000384395,0.957155,0.000005120615,0.00004098511,0.0001943159,0.0001250406,0.03911977,0.001399441,0.001736448,0.0001613783,0.00001927202],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932879,0.00009439913,0.005069755,0.00003994313,0.000004124746,0.000003336329,0.000166452,0.00005379501,0.001280322],"genre_scores_gemma":[0.9991987,0.00002593161,0.00053889,0.00001518304,0.000005282721,0.00000170084,0.0001222503,0.00001077586,0.00008132256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002261359,"threshold_uncertainty_score":0.004670799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005820192738889356,"score_gpt":0.164860773156613,"score_spread":0.1590405804177237,"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."}}