{"id":"W2119165101","doi":"10.1093/gbe/evr075","title":"On Characterizing Adaptive Events Unique to Modern Humans","year":2011,"lang":"en","type":"article","venue":"Genome Biology and Evolution","topic":"Primate Behavior and Ecology","field":"Psychology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"National Science Foundation","keywords":"Neanderthal; Biology; Evolutionary biology; Genome; Convergent evolution; Human evolution; Extant taxon; Natural selection; Selection (genetic algorithm); Population; Hominidae; Human evolutionary genetics; Human genome; Adaptation (eye); Phylogenetics; Gene; Genetics; Biological evolution; Geography; Neuroscience","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":[0.0007985428,0.0002053007,0.0003004098,0.00174346,0.0004694873,0.000806924,0.000282798,0.0004721813,0.001446095],"category_scores_gemma":[0.002314258,0.00009012058,0.0002158041,0.001417461,0.001175797,0.0009332573,0.0006669508,0.0004624169,0.0001595593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002617824,"about_ca_system_score_gemma":0.0001737481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007994769,"about_ca_topic_score_gemma":0.001692601,"domain_scores_codex":[0.9997209,0.00007568825,0.00001546051,0.0001007734,0.00004513879,0.00004197583],"domain_scores_gemma":[0.9987553,0.0006497694,0.0002980327,0.0000893701,0.000105099,0.0001024053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005668829,0.0001106306,0.7193019,0.0004828079,0.0003436788,0.0008879798,0.003513623,0.002322744,0.1513,0.005185093,0.0003518359,0.115633],"study_design_scores_gemma":[0.000005415795,0.0001354198,0.9877706,0.00002388372,0.00004974335,0.0009593435,0.001054863,0.0007840499,0.003352423,0.004570356,0.001278024,0.00001590334],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943586,0.00137215,0.002222801,0.0001096088,0.000004376579,0.000008391736,0.0001452065,0.000009462945,0.00176942],"genre_scores_gemma":[0.9963343,0.0006896138,0.002472228,0.0001002042,0.00002624904,0.000012795,0.0001819843,0.000006872247,0.0001757917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00174346,"threshold_uncertainty_score":0.004837692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06130814161922735,"score_gpt":0.3086703974429926,"score_spread":0.2473622558237652,"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."}}