{"id":"W4246142468","doi":"10.1890/15-1275","title":"A compilation of quantitative functional traits for marine and freshwater crustacean zooplankton","year":2016,"lang":"en","type":"article","venue":"Ecology","topic":"Crustacean biology and ecology","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Université de Montréal","funders":"","keywords":"Zooplankton; Crustacean; Ecology; Biology; Fishery","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":[0.001574321,0.001616697,0.001248912,0.0141388,0.0005017706,0.001637639,0.001044184,0.0006158703,0.01120511],"category_scores_gemma":[0.008320951,0.0006185524,0.001727581,0.01451572,0.0003348399,0.001170573,0.001910016,0.0009533364,0.006383658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007812064,"about_ca_system_score_gemma":0.001900485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01559598,"about_ca_topic_score_gemma":0.01772209,"domain_scores_codex":[0.9976109,0.0002646797,0.0006234538,0.0006218894,0.0007255215,0.0001535635],"domain_scores_gemma":[0.9903228,0.002846325,0.002147297,0.001116867,0.003113034,0.0004537925],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0006665329,0.0002464727,0.3452913,0.01531652,0.00372551,0.0004377837,0.001528222,0.003851698,0.007013526,0.003420602,0.3703238,0.2481781],"study_design_scores_gemma":[0.00006776165,0.0001215123,0.5203783,0.001593274,0.0005673683,0.0003398305,0.0006247708,0.0005264307,0.001293381,0.00114302,0.4732218,0.0001225791],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01701575,0.00136632,0.002298334,0.00005689084,0.00005448115,0.00008222581,0.9750916,0.0004054563,0.003628951],"genre_scores_gemma":[0.02136156,0.0009254002,0.006648993,0.0000690578,0.00003227079,0.0005727916,0.9689816,0.0001634536,0.001244992],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01559598,"threshold_uncertainty_score":0.03748482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01981764273616425,"score_gpt":0.2359994912679002,"score_spread":0.2161818485317359,"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."}}