{"id":"W4235135030","doi":"10.1038/npg.els.0001787","title":"Genetic Load","year":2005,"lang":"en","type":"other","venue":"Encyclopedia of Life Sciences","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Population; Genetic load; Biology; Statistics; Evolutionary biology; Mathematics; Demography; Sociology","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":[0.0003146842,0.0006154742,0.0006861924,0.00166685,0.0005115006,0.002821511,0.0007940438,0.0005456081,0.05715834],"category_scores_gemma":[0.003106891,0.0001457062,0.0002719987,0.00208547,0.0005372767,0.001609967,0.001135793,0.0007695239,0.01709563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007532168,"about_ca_system_score_gemma":0.0005175223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00137484,"about_ca_topic_score_gemma":0.0007231316,"domain_scores_codex":[0.9993066,0.00005071507,0.0000304189,0.0001453966,0.0004114788,0.00005548743],"domain_scores_gemma":[0.9987698,0.0002739787,0.000156401,0.000225199,0.0003858794,0.0001885994],"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":[0.0004543811,0.0002599406,0.02033232,0.000928506,0.0001498625,0.0009275944,0.0005060807,0.01241445,0.05526475,0.1991683,0.1153252,0.5942686],"study_design_scores_gemma":[0.0001025871,0.000337584,0.04771008,0.0004783348,0.0001733126,0.003550322,0.0004332239,0.03081399,0.03812636,0.282366,0.5956662,0.0002419007],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1849651,0.005889707,0.1084346,0.002837424,0.001629015,0.0003472184,0.02545906,0.007629956,0.662808],"genre_scores_gemma":[0.6843688,0.004018955,0.01695274,0.0008555583,0.0007845745,0.0002672391,0.01681475,0.00119849,0.2747389],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05715834,"threshold_uncertainty_score":0.1912137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006474319495171636,"score_gpt":0.2496191605484595,"score_spread":0.2431448410532879,"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."}}