{"id":"W4377980528","doi":"10.17504/protocols.io.e6nvwk372vmk/v1","title":"pool-seq pipeline - Stanford et al. v1","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Genetic diversity; Biology; Endangered species; Biodiversity; Population; Ecology; Population genomics; Evolutionary biology; Nucleotide diversity; Genetic variation; Genetic structure; Local adaptation; Conservation genetics; Genomics; Genome; Genotype; Allele; Microsatellite; Genetics; Haplotype; Gene; Habitat; Demography","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":[0.004526135,0.004942195,0.004721245,0.002798946,0.002737694,0.004888799,0.005284105,0.003210982,0.1240955],"category_scores_gemma":[0.00719573,0.003812514,0.004620873,0.002583274,0.001124949,0.002209856,0.003746762,0.005116642,0.09751996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001156795,"about_ca_system_score_gemma":0.007316967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008113665,"about_ca_topic_score_gemma":0.01768279,"domain_scores_codex":[0.9978309,0.0003117628,0.0001880349,0.001117967,0.00029334,0.0002579195],"domain_scores_gemma":[0.9984346,0.0007269313,0.0001177829,0.0003257045,0.0002416779,0.0001531513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00197418,0.0001548677,0.003856964,0.007371515,0.001482927,0.000536051,0.0008990685,0.004532361,0.02242254,0.008446608,0.9073122,0.04101077],"study_design_scores_gemma":[0.002384524,0.000364009,0.006328098,0.0008039119,0.000800966,0.000539145,0.0002351028,0.03596637,0.01968835,0.0357688,0.8966209,0.0004999218],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.002634358,0.00157636,0.09519081,0.0004912759,0.0008630205,0.001065113,0.6221226,0.266789,0.009267534],"genre_scores_gemma":[0.01370295,0.0009672379,0.2207761,0.002363898,0.0002217853,0.009147063,0.653734,0.08557703,0.01351],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.1240955,"threshold_uncertainty_score":0.4151409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0143324346340911,"score_gpt":0.3165024298123153,"score_spread":0.3021699951782242,"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."}}