{"id":"W6891882341","doi":"10.48550/arxiv.q-bio/0504021","title":"Sharp gene pool transition in a population affected by phenotype-based selective hunting","year":2005,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gene pool; Population; Population structure; Transition (genetics); Population genetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0007027991,0.0003111725,0.0009035027,0.000926703,0.000615052,0.001426525,0.001070475,0.0011667,0.00159879],"category_scores_gemma":[0.003191334,0.0004400289,0.0007859857,0.0003723268,0.001941811,0.001149214,0.001377721,0.0007846361,0.0001812324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008075959,"about_ca_system_score_gemma":0.0004704164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003943361,"about_ca_topic_score_gemma":0.001661246,"domain_scores_codex":[0.9997973,0.00006357655,0.000006852843,0.00004132258,0.0000277103,0.00006342182],"domain_scores_gemma":[0.9988764,0.0004395759,0.0002155224,0.00008226881,0.00007387734,0.0003123586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0005854603,0.0002956537,0.02598587,0.0001903843,0.0004477225,0.004067223,0.001603373,0.6415786,0.09307696,0.2204158,0.002772251,0.008980654],"study_design_scores_gemma":[0.0001436497,0.0001392219,0.007621991,0.00001391626,0.00008274058,0.0003728239,0.0001899884,0.9285793,0.00129118,0.06106195,0.0004458008,0.00005734914],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9653823,0.0001492755,0.03050784,0.0005228057,0.00001985887,0.00001677943,0.0000830792,0.0001252602,0.003192757],"genre_scores_gemma":[0.9966582,0.00009452443,0.001829026,0.00008685158,0.00001321419,0.00002369701,0.00003986672,0.00001779773,0.001236774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003943361,"threshold_uncertainty_score":0.007840812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02340698671614965,"score_gpt":0.176315237097837,"score_spread":0.1529082503816873,"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."}}