{"id":"W2896914900","doi":"10.1002/ecy.2525","title":"<scp>ATLANTIC</scp>‐<scp>PRIMATES</scp>: a dataset of communities and occurrences of primates in the Atlantic Forests of South America","year":2018,"lang":"en","type":"article","venue":"Ecology","topic":"Primate Behavior and Ecology","field":"Psychology","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Instituto Chico Mendes de Conservação da Biodiversidade; Innovation and Networks Executive Agency; Universidade Federal do Paraná; Governo Brasil","keywords":"Primate; Ecology; Biology; Population; Geography; Biome; Atlantic forest; Ecosystem; Demography","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":[0.0004529266,0.0004464175,0.0004975976,0.003736675,0.0005390373,0.0007771915,0.0007616756,0.0004409647,0.004913268],"category_scores_gemma":[0.002398202,0.0002906603,0.0004386954,0.007273082,0.0002903501,0.0003990651,0.001414063,0.0005162858,0.001842274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008296319,"about_ca_system_score_gemma":0.001362214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1217623,"about_ca_topic_score_gemma":0.1751894,"domain_scores_codex":[0.9994856,0.00006838882,0.00007264777,0.0001310311,0.0001473663,0.00009492837],"domain_scores_gemma":[0.9972039,0.0003487629,0.0009183855,0.0003745462,0.0007528233,0.000401531],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000243381,0.0001034583,0.8397255,0.001449758,0.0003889088,0.0003869986,0.00113839,0.00165831,0.004926976,0.0005207516,0.123844,0.02561361],"study_design_scores_gemma":[0.00003095133,0.0000121209,0.960527,0.0001039213,0.00002767584,0.0001201181,0.0004666803,0.0008984464,0.0002974579,0.000101527,0.03740028,0.00001375683],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1845066,0.0003372724,0.0003746147,0.0001518512,0.00001168805,0.00006297398,0.812584,0.0001237897,0.001847272],"genre_scores_gemma":[0.1459808,0.0002499973,0.001921652,0.00008896949,0.00002059606,0.0003189965,0.850573,0.00004160927,0.0008044158],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1217623,"threshold_uncertainty_score":0.2421071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03859327848747555,"score_gpt":0.3245900508450434,"score_spread":0.2859967723575679,"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."}}