{"id":"W2385552135","doi":"","title":"Response of Plant Functional Traits to Environment and Its Application","year":2008,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"L'Alliance Boviteq","funders":"","keywords":"Functional ecology; Ecosystem; Ecology; Biology; Trait; Environmental science; Computer science","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":[0.0009835243,0.0003610191,0.0004471854,0.001419167,0.0001190144,0.0005615052,0.0003632267,0.0003941106,0.0009341011],"category_scores_gemma":[0.00130481,0.0001052606,0.0004188432,0.001343361,0.0003332893,0.0003389445,0.0002784414,0.0003311198,0.0002924451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003714177,"about_ca_system_score_gemma":0.0001766311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001313965,"about_ca_topic_score_gemma":0.0008054962,"domain_scores_codex":[0.9996282,0.000149423,0.00002877803,0.00008996553,0.00008786003,0.0000158755],"domain_scores_gemma":[0.9992868,0.0004375007,0.00009866975,0.00003711616,0.0001231067,0.00001691797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003644068,0.0001066802,0.1112731,0.004161252,0.0005346125,0.0007543365,0.0003859556,0.01125923,0.08790185,0.009090392,0.002401219,0.771767],"study_design_scores_gemma":[0.00001986773,0.001398522,0.7753878,0.00100615,0.0006421581,0.0054546,0.0006564198,0.01972546,0.03823522,0.02138306,0.1358859,0.0002047547],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.384088,0.5066519,0.06494921,0.003085953,0.0005015011,0.0001184427,0.002815446,0.0002978161,0.0374918],"genre_scores_gemma":[0.8286447,0.1468695,0.01884184,0.0006448424,0.000301026,0.00009490341,0.0008246181,0.00003674641,0.003741914],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001419167,"threshold_uncertainty_score":0.005201399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01931590103385784,"score_gpt":0.1757036821700718,"score_spread":0.156387781136214,"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."}}