{"id":"W2503816995","doi":"10.1111/1365-2435.12722","title":"A global method for calculating plant <scp>CSR</scp> ecological strategies applied across biomes world‐wide","year":2016,"lang":"en","type":"article","venue":"Functional Ecology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":585,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Natural Environment Research Council; Fondation pour la Recherche sur la Biodiversite","keywords":"Biome; Biology; Specific leaf area; Trait; Ecology; Ruderal species; Phenology; Ecosystem; Botany; Habitat","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":[0.002147191,0.000697783,0.0006862395,0.004612945,0.0003715809,0.001095716,0.0006398597,0.0003275456,0.006857208],"category_scores_gemma":[0.00492698,0.0002849042,0.001150103,0.004376752,0.0003841359,0.0007018794,0.001048682,0.0006248561,0.001475659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004237615,"about_ca_system_score_gemma":0.0005457235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002990549,"about_ca_topic_score_gemma":0.003432436,"domain_scores_codex":[0.9990305,0.0002302388,0.00009128158,0.0004095778,0.0001850494,0.00005338746],"domain_scores_gemma":[0.9977996,0.0009730192,0.0003411671,0.000424992,0.000408465,0.00005282813],"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":[0.000277905,0.0001527143,0.2962539,0.0008341456,0.00223895,0.0003154784,0.001399691,0.0444616,0.04375248,0.01556434,0.01969846,0.5750503],"study_design_scores_gemma":[0.00008936173,0.0004304591,0.6194756,0.0001059144,0.0004612918,0.0008278007,0.0006909922,0.2984633,0.0195793,0.0109935,0.04867668,0.0002056558],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3695455,0.0002158701,0.5992892,0.00009731458,0.00007580464,0.0003842847,0.008662175,0.01131767,0.01041227],"genre_scores_gemma":[0.5525696,0.00009300211,0.4354248,0.0000520348,0.00002499344,0.001175643,0.006764973,0.001522589,0.002372435],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006857208,"threshold_uncertainty_score":0.02293968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01870334124218235,"score_gpt":0.2852193932401691,"score_spread":0.2665160519979867,"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."}}