{"id":"W2029763286","doi":"10.3758/lb.38.3.265","title":"Experimental identification of social learning in wild animals","year":2010,"lang":"en","type":"review","venue":"Learning & Behavior","topic":"Animal Behavior and Reproduction","field":"Agricultural and Biological Sciences","cited_by":111,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"University of Oxford; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Universiteit Utrecht; McGill University","keywords":"Social learning; Psychology; Foraging; Cognitive psychology; Field (mathematics); Identification (biology); Population; Consistency (knowledge bases); Captivity; Communication; Social psychology; Artificial intelligence; Computer science; Ecology; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004463867,0.0002768297,0.0007766814,0.00005410843,0.0002602135,0.00005357874,0.0002503265,0.0004530266,0.000338206],"category_scores_gemma":[0.00004643362,0.0001272355,0.0003720732,0.0004201954,0.00009802434,0.0000890592,0.00008372939,0.001222103,0.00006025978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006159434,"about_ca_system_score_gemma":0.00001668824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001043488,"about_ca_topic_score_gemma":0.00001846689,"domain_scores_codex":[0.9979366,0.0002784776,0.0007141921,0.0005455372,0.0002633712,0.0002618164],"domain_scores_gemma":[0.9991345,0.00005113041,0.0006666398,0.00005784441,0.00004534083,0.00004451312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004308402,0.0001389736,0.001921953,0.00008282129,0.000002566004,0.00000367591,0.000125761,3.179077e-7,0.2301983,0.00001576514,0.000003239081,0.7675023],"study_design_scores_gemma":[0.0001069517,0.0003378176,0.1168105,0.0006667571,0.0003886611,0.00005041134,0.0007111558,9.10505e-7,0.00257495,8.318073e-7,0.8777392,0.0006118497],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5893742,0.4098867,1.467229e-7,0.00001053635,0.0001850126,0.0004093621,0.000007660287,0.00007595752,0.0000503353],"genre_scores_gemma":[0.6305168,0.3665596,0.00001795582,0.000001337978,0.0005981821,0.0002744513,0.0003719695,0.00001018822,0.001649473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.877736,"threshold_uncertainty_score":0.53095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05398528841942656,"score_gpt":0.3392316164540344,"score_spread":0.2852463280346079,"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."}}