{"id":"W4324004245","doi":"10.1126/science.346.6215.1308","title":"A flock of genomes","year":2014,"lang":"en","type":"article","venue":"Science","topic":"Chromosomal and Genetic Variations","field":"Agricultural and Biological Sciences","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Flock; Genome; Biology; Evolutionary biology; Computational biology; Genetics; Ecology; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001803576,0.00002542134,0.0000396246,0.00000523384,0.0001098621,0.00001341818,0.0002080064,0.000009465474,0.0002176135],"category_scores_gemma":[0.0000488139,0.000008091235,0.00001722951,0.0003885194,0.0001380573,0.00004075522,0.00004313238,0.00001340328,0.00002818655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003489321,"about_ca_system_score_gemma":0.000007766669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000199883,"about_ca_topic_score_gemma":0.00005639511,"domain_scores_codex":[0.9995932,0.000007841928,0.00005972963,0.0001051371,0.000135839,0.00009825786],"domain_scores_gemma":[0.9998279,0.00003601993,0.00002330863,0.00003008937,0.00004304058,0.00003965146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[4.811855e-7,0.00001230763,0.006657542,5.540597e-7,3.19254e-7,2.930144e-8,0.00004526704,0.000005880007,0.901468,0.002671001,0.000008599397,0.08913005],"study_design_scores_gemma":[0.00004042964,0.0001472054,0.8971593,0.000004230714,0.0000020328,0.000002234681,0.0000581806,0.0007812905,0.05172423,0.007131518,0.0428765,0.00007285069],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940734,0.0000362279,0.000009176593,0.0004500028,0.00005988757,0.00002667577,0.000002975073,0.00001048556,0.0053312],"genre_scores_gemma":[0.9994602,0.000003521571,0.0002977745,0.0000572324,0.00005528155,0.000001139951,7.189706e-7,5.97049e-8,0.0001240215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8905017,"threshold_uncertainty_score":0.2382715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01152329386524185,"score_gpt":0.2036948126329957,"score_spread":0.1921715187677538,"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."}}