{"id":"W3092744901","doi":"10.1101/2020.10.15.341859","title":"The role of behavioural flexibility in primate diversification","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Primate Behavior and Ecology","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Diversification (marketing strategy); Biology; Phylogenetic tree; Evolutionary biology; Phylogenetics; Clade; Biodiversity; Flexibility (engineering); Ecology; Genetics; Economics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007507381,0.0002882993,0.0003204531,0.0008448815,0.0003756276,0.001067277,0.0002667679,0.0005719899,0.001916016],"category_scores_gemma":[0.004612389,0.0003186624,0.0003462962,0.0004609955,0.0009730593,0.0007360307,0.001301045,0.0009112456,0.000192207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002737211,"about_ca_system_score_gemma":0.0002102452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001182743,"about_ca_topic_score_gemma":0.001891449,"domain_scores_codex":[0.9995406,0.000164376,0.00002021134,0.0001248207,0.00007610755,0.00007391498],"domain_scores_gemma":[0.997395,0.0009375982,0.0009278571,0.0002774738,0.0001203608,0.0003416265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003678897,0.0001032265,0.833971,0.0002261573,0.000508822,0.0002887294,0.00308635,0.004041632,0.09867076,0.002074902,0.0003037933,0.05635677],"study_design_scores_gemma":[0.000001922798,0.00003494653,0.9968263,0.0000133097,0.00001564418,0.0001087121,0.0001388718,0.001104569,0.000370766,0.001208385,0.0001628361,0.00001379879],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964461,0.0003466211,0.001488331,0.0001386942,0.000003163997,0.000003357682,0.00006407515,0.00002096913,0.001488759],"genre_scores_gemma":[0.9992163,0.00008247059,0.0004951564,0.00003976674,0.000006608343,0.000003921903,0.00004421824,0.000008117278,0.000103506],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001916016,"threshold_uncertainty_score":0.006409705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04823108446836292,"score_gpt":0.2880678867813039,"score_spread":0.2398368023129409,"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."}}