{"id":"W2948260156","doi":"10.1038/s41467-019-10293-y","title":"The reach of gene–culture coevolution in animals","year":2019,"lang":"en","type":"review","venue":"Nature Communications","topic":"Animal Behavior and Reproduction","field":"Agricultural and Biological Sciences","cited_by":196,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Coevolution; Biology; Selection (genetic algorithm); Evolutionary biology; Assortative mating; Population; Mating; Gene; Diversity (politics); Ecology; Genetics; Sociology; Anthropology; Computer science; Artificial intelligence","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":[0.0007612039,0.0007633621,0.001382721,0.002285622,0.0003768672,0.001333331,0.0008005968,0.00148821,0.002251539],"category_scores_gemma":[0.001155448,0.0002487914,0.0004113284,0.002772372,0.00105239,0.001828839,0.0007995265,0.001426047,0.001118474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007675758,"about_ca_system_score_gemma":0.001365975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001793211,"about_ca_topic_score_gemma":0.002275083,"domain_scores_codex":[0.9997954,0.00005066479,0.00002981365,0.00005441664,0.00005291441,0.00001687055],"domain_scores_gemma":[0.9992816,0.0004883761,0.00006829392,0.00002577547,0.00009203055,0.00004392691],"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":[0.00003440581,0.00002021321,0.0002999562,0.01863065,0.0001093919,0.0001816993,0.000137204,0.0005115987,0.0008215262,0.009919975,0.0121011,0.9572324],"study_design_scores_gemma":[0.000007204033,0.00006895322,0.002324827,0.008235127,0.0001448036,0.001229466,0.0001695068,0.0001078203,0.0003342592,0.008508729,0.9788396,0.00002965966],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00008478763,0.9988501,0.00009983985,0.0002646519,0.00008545515,0.000001206475,0.000008540239,0.000002960454,0.0006025037],"genre_scores_gemma":[0.0007189345,0.998696,0.000113216,0.0001372402,0.0001150887,0.000003050465,0.00001212364,0.0000012008,0.0002030345],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002285622,"threshold_uncertainty_score":0.00753212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1031894206048963,"score_gpt":0.3643158979896823,"score_spread":0.261126477384786,"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."}}