{"id":"W1601512579","doi":"10.1017/cbo9780511542619","title":"The Evolution of Population Biology","year":2004,"lang":"en","type":"book","venue":"Cambridge University Press eBooks","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":104,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Population biology; Population genetics; Biology; Evolutionary biology; Population; Population genomics; Selection (genetic algorithm); Context (archaeology); Comparative biology; Genomics; Quantitative genetics; Genetics; Demography; Genome; Genetic variation; Gene; Sociology; Computer science","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":[0.001068671,0.0006965193,0.0007515477,0.001301153,0.0009167242,0.003708627,0.0007807505,0.001337263,0.009911661],"category_scores_gemma":[0.003102191,0.0003680144,0.0004345564,0.001068453,0.006402789,0.00309013,0.001394037,0.002626722,0.003278332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002159222,"about_ca_system_score_gemma":0.001297807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001729216,"about_ca_topic_score_gemma":0.001661297,"domain_scores_codex":[0.9993266,0.0002185493,0.00002577358,0.0001642208,0.0002344104,0.00003049881],"domain_scores_gemma":[0.9990482,0.0006029218,0.00005183872,0.0001424526,0.0001087499,0.00004595338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000007253869,0.000008359151,0.0004550348,0.0001735998,0.00004196166,0.00005703973,0.0006910007,0.00216252,0.0005088994,0.7988133,0.06465506,0.1324261],"study_design_scores_gemma":[0.000004580419,0.00001301334,0.000605616,0.0001695577,0.000008478294,0.0001661277,0.0001085179,0.0009124022,0.0001493683,0.4032101,0.5946406,0.00001166608],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.004891972,0.2979792,0.1255467,0.04607424,0.008812057,0.00006856282,0.000428154,0.0006951141,0.515504],"genre_scores_gemma":[0.1744826,0.2198334,0.07515831,0.02083163,0.01075719,0.0003644421,0.000628781,0.000697426,0.4972463],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009911661,"threshold_uncertainty_score":0.03315777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00624387062058266,"score_gpt":0.1992499943472149,"score_spread":0.1930061237266323,"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."}}