{"id":"W2144918243","doi":"10.1111/j.2041-210x.2010.00023.x","title":"The Primate Life History Database: a unique shared ecological data resource","year":2010,"lang":"en","type":"article","venue":"Methods in Ecology and Evolution","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":123,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute on Aging","keywords":"Metadata; Database; Resource (disambiguation); Data sharing; Computer science; Process (computing); Database catalog; Data science; World Wide Web; Data element","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":[0.004048914,0.0007981749,0.001341166,0.01081565,0.001512878,0.003724533,0.003365821,0.001107293,0.02409432],"category_scores_gemma":[0.01654405,0.000808176,0.0005133731,0.01524273,0.000432911,0.003870343,0.005693347,0.001519865,0.01593115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001022651,"about_ca_system_score_gemma":0.004733528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007189553,"about_ca_topic_score_gemma":0.008797606,"domain_scores_codex":[0.9976018,0.0003964525,0.0007891878,0.0003708477,0.0007100283,0.0001317566],"domain_scores_gemma":[0.9888363,0.002184516,0.001487966,0.003225222,0.002249833,0.002016124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004049801,0.0001772775,0.0173126,0.001875861,0.0002397505,0.0005536607,0.001186926,0.001439619,0.004688884,0.01851136,0.7524507,0.2011585],"study_design_scores_gemma":[0.00007521677,0.00003627476,0.01346173,0.0002681703,0.00008332759,0.0006589012,0.0003661962,0.001649047,0.001444907,0.00990679,0.9719509,0.00009841377],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.008328288,0.001723463,0.05319697,0.00156437,0.0002738823,0.000567264,0.8964002,0.01486146,0.02308408],"genre_scores_gemma":[0.02467844,0.001306614,0.0865248,0.0007294472,0.000168535,0.001362666,0.8776346,0.002951767,0.004643202],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02409432,"threshold_uncertainty_score":0.08060348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08216726431111449,"score_gpt":0.3546314125399421,"score_spread":0.2724641482288276,"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."}}