{"id":"W1565902409","doi":"10.4033/iee.2015.8.5.n","title":"Conservatives and Gamblers: Interpreting plant functional response to water stress in terms of a single indicator","year":2015,"lang":"en","type":"article","venue":"Ideas in Ecology and Evolution","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Simplicity; Transpiration; Variety (cybernetics); Water stress; Environmental science; Stress (linguistics); Computer science; Set (abstract data type); Biochemical engineering; Artificial intelligence; Biology; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002477551,0.0009147727,0.0008865754,0.002525788,0.0005156543,0.001432345,0.0009460503,0.0009171898,0.001426392],"category_scores_gemma":[0.007054367,0.0003926941,0.0008365724,0.001186679,0.001926767,0.002313576,0.002098176,0.001033041,0.0003859269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004320578,"about_ca_system_score_gemma":0.0003852794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00466672,"about_ca_topic_score_gemma":0.003764231,"domain_scores_codex":[0.999433,0.0002460473,0.00002976069,0.0001440941,0.00008934132,0.00005772574],"domain_scores_gemma":[0.9983669,0.0008939325,0.0002736397,0.0001325572,0.0001056636,0.0002273645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.002183757,0.000287076,0.1847523,0.0009465888,0.0005741031,0.001668575,0.007164132,0.3016645,0.04948305,0.2154687,0.004613983,0.2311932],"study_design_scores_gemma":[0.00006998282,0.0003229412,0.06431902,0.0000765951,0.0001071444,0.0005867332,0.0014534,0.58232,0.003327898,0.3397106,0.007523245,0.0001825434],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4012665,0.0008830393,0.5908031,0.0007355338,0.00009995892,0.0001179262,0.0004016074,0.0007920885,0.004900177],"genre_scores_gemma":[0.9372464,0.0002048253,0.06028369,0.000135797,0.0000513287,0.00009471193,0.0002146098,0.0001729773,0.001595616],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00466672,"threshold_uncertainty_score":0.01310271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01133049815215995,"score_gpt":0.2109545131122213,"score_spread":0.1996240149600614,"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."}}