{"id":"W2001772020","doi":"10.1002/ajpa.20518","title":"The molecular signature of selection underlying human adaptations","year":2006,"lang":"en","type":"review","venue":"American Journal of Physical Anthropology","topic":"Biochemical Analysis and Sensing Techniques","field":"Nursing","cited_by":112,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"York University; City University of New York","keywords":"Biology; Natural selection; Selection (genetic algorithm); Evolutionary biology; Population; Trait; Directional selection; Adaptation (eye); Balancing selection; Genetics; Genetic variation; Artificial intelligence; Computer science; Gene","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":[0.0001679298,0.0002614525,0.001719921,0.0001700365,0.0002550729,0.00002217812,0.0003310297,0.0001421488,0.000006970643],"category_scores_gemma":[0.00006490677,0.000154266,0.001114859,0.0006857748,0.00218499,0.00003456523,0.00003485382,0.0008995173,0.000001038221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009818458,"about_ca_system_score_gemma":0.00006352917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002883566,"about_ca_topic_score_gemma":0.00002070581,"domain_scores_codex":[0.9979848,0.0005088467,0.0008108251,0.0001901508,0.0002611038,0.0002442543],"domain_scores_gemma":[0.9969028,0.0004899343,0.002074015,0.0001871342,0.0002888396,0.0000573144],"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":[0.00001499957,0.0001806123,6.651827e-7,0.0001806981,0.0003163939,0.000006522026,0.00004861407,0.000007738283,0.006502752,0.004226063,0.0007716797,0.9877433],"study_design_scores_gemma":[0.0002905539,0.008183158,0.00001166583,0.004930306,0.007375753,0.0004375133,0.000690234,0.0002499071,0.009974137,0.02712421,0.9398361,0.0008964532],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001075909,0.9932277,0.004307482,0.0008571561,0.0001845424,0.00014471,0.000007740725,0.00002905933,0.0001657642],"genre_scores_gemma":[0.3332671,0.6642151,0.001727387,0.00007378301,0.0006012981,0.000003789233,0.00002220804,0.00007012663,0.00001925633],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9868468,"threshold_uncertainty_score":0.8050686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03174733355318991,"score_gpt":0.391004824871326,"score_spread":0.3592574913181361,"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."}}