{"id":"W2179812829","doi":"10.1002/ece3.1755","title":"Vervet monkeys use paths consistent with context‐specific spatial movement heuristics","year":2015,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Child and Animal Learning Development","field":"Psychology","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"McGill University","keywords":"Heuristics; Movement (music); Context (archaeology); Spatial contextual awareness; Computer science; Geography; Artificial intelligence; Archaeology","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":[0.0003656319,0.0002845093,0.0002427389,0.0002611791,0.000454816,0.001014429,0.0004240288,0.0005243519,0.0007264446],"category_scores_gemma":[0.002273948,0.0002854273,0.0002441076,0.000229442,0.0008369181,0.000684856,0.000519366,0.0005006014,0.0001396473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003033003,"about_ca_system_score_gemma":0.0004167745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003014693,"about_ca_topic_score_gemma":0.006889077,"domain_scores_codex":[0.9997076,0.00006409707,0.00002122257,0.0001274509,0.00004268006,0.00003689951],"domain_scores_gemma":[0.9989731,0.0002839584,0.0003236141,0.0002652062,0.00009385646,0.00006027287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006392041,0.0003059374,0.2477824,0.0006198966,0.0003668131,0.001558381,0.005235695,0.04002694,0.4897844,0.009953806,0.001517832,0.2022088],"study_design_scores_gemma":[0.0001572711,0.002680348,0.6925433,0.0002656228,0.000397044,0.003393687,0.004864878,0.1548855,0.08690001,0.03633969,0.01734898,0.0002236757],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900661,0.000116122,0.006144423,0.00006999993,0.000006511449,0.00002183886,0.00002882575,0.0001017255,0.003444448],"genre_scores_gemma":[0.9895329,0.0001225344,0.00950343,0.00004276143,0.00000241456,0.00001986485,0.00008954915,0.00003320597,0.000653433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003014693,"threshold_uncertainty_score":0.00599426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03225775313687994,"score_gpt":0.2435715042138402,"score_spread":0.2113137510769602,"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."}}