{"id":"W1986864438","doi":"10.1101/gr.3162505","title":"Pooled genomic indexing of rhesus macaque","year":2005,"lang":"en","type":"article","venue":"Genome Research","topic":"Chromosomal and Genetic Variations","field":"Agricultural and Biological Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Human Genome Research Institute; National Center for Research Resources; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Biology; Rhesus macaque; Genome; Genetics; Bacterial artificial chromosome; Pooling; DNA sequencing; genomic DNA; Computational biology; Whole genome sequencing; Macaque; Reference genome; DNA; Gene; Computer science; Artificial intelligence","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":[0.0004170579,0.0004360176,0.0006598475,0.00172304,0.0007471688,0.000670262,0.0004525071,0.0004185656,0.003278174],"category_scores_gemma":[0.001013464,0.0002564168,0.0006725618,0.00108149,0.0004825769,0.0003453714,0.0009303333,0.0006084295,0.001501486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005125023,"about_ca_system_score_gemma":0.0005059429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006292168,"about_ca_topic_score_gemma":0.005531029,"domain_scores_codex":[0.9995461,0.00004925249,0.00003958855,0.0001678757,0.0001054379,0.00009170442],"domain_scores_gemma":[0.9996846,0.00003555759,0.00004650853,0.0001067822,0.00008285383,0.00004375176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003128495,0.00006298286,0.002811217,0.0001395901,0.0000363199,0.0005392486,0.0003030533,0.0001483862,0.9540772,0.0008629241,0.0008928705,0.03981341],"study_design_scores_gemma":[0.00005745651,0.001543576,0.07071197,0.00007385058,0.0003711024,0.007611729,0.0006761704,0.004001517,0.812297,0.002151271,0.1004225,0.00008193949],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9002563,0.006036873,0.06997907,0.0004783801,0.0002376217,0.000749869,0.009081315,0.001661523,0.01151903],"genre_scores_gemma":[0.8837399,0.003291394,0.07491254,0.0006950336,0.0001294276,0.000725913,0.02352915,0.0005053821,0.01247126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006292168,"threshold_uncertainty_score":0.01251107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07002130412790496,"score_gpt":0.3122448194535475,"score_spread":0.2422235153256425,"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."}}