{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000775768,0.0001475074,0.0005370099,0.0007681674,0.0001777106,0.0008436298,0.0003822323,0.0007953751,0.001010937],"category_scores_gemma":[0.001559557,0.0001657695,0.0002273336,0.0008438464,0.0013359,0.0006782403,0.0006131942,0.0007095602,0.0004367356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003192784,"about_ca_system_score_gemma":0.000246916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003713136,"about_ca_topic_score_gemma":0.0003104607,"domain_scores_codex":[0.9994826,0.0001222526,0.00004123746,0.0002049673,0.0001002401,0.00004869667],"domain_scores_gemma":[0.9994734,0.0002373197,0.0001509439,0.00003792827,0.00006981302,0.00003058564],"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":[0.0003833826,0.00003921385,0.09784215,0.005567823,0.0006871043,0.003019799,0.002913192,0.00283704,0.3032886,0.07829481,0.005036377,0.5000904],"study_design_scores_gemma":[0.00004188712,0.0004594878,0.6583633,0.001175303,0.00058858,0.007491538,0.002084247,0.001839162,0.03820587,0.1126406,0.1769161,0.0001938733],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.4773757,0.465328,0.02311442,0.01100826,0.0005510573,0.00005921843,0.001131959,0.000282186,0.02114916],"genre_scores_gemma":[0.876756,0.1119522,0.005994011,0.001936519,0.0007705344,0.00005069045,0.0004532495,0.00004655558,0.002040245],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.001010937,"threshold_uncertainty_score":0.004102707,"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."}}