{"id":"W4242273094","doi":"10.1007/978-3-030-04756-6","title":"Population Genomics: Microorganisms","year":2019,"lang":"en","type":"book","venue":"Population genomics","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Genomics; Population genomics; Audience measurement; Population; Biology; Metagenomics; Range (aeronautics); Computational biology; Genetics; Genome; Engineering; Medicine; Business; Gene; Environmental health","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":[0.0003020738,0.001217714,0.0009141811,0.001201989,0.0005575686,0.002842215,0.001136141,0.001075796,0.04551088],"category_scores_gemma":[0.0007990143,0.0004585351,0.0004728154,0.001822628,0.00160276,0.002646718,0.001563541,0.002623209,0.03036501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001047647,"about_ca_system_score_gemma":0.0006974452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008891679,"about_ca_topic_score_gemma":0.001529934,"domain_scores_codex":[0.9997334,0.00006024424,0.000009853377,0.00005502695,0.0001249116,0.00001658878],"domain_scores_gemma":[0.9998246,0.00008104133,0.000009312223,0.00002770715,0.000031332,0.00002602458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003362099,0.00004091239,0.00009834413,0.0005837178,0.00001915502,0.00007056876,0.000215026,0.00100176,0.00398697,0.2906856,0.2623169,0.4409474],"study_design_scores_gemma":[0.000004946553,0.0000121446,0.00009468929,0.0001190212,0.000003702116,0.0001314901,0.00002050923,0.0002629232,0.0003619245,0.06016438,0.9388186,0.00000576168],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001232453,0.1786732,0.1110326,0.004072778,0.006385028,0.000144897,0.0006105495,0.002202014,0.6956465],"genre_scores_gemma":[0.0164906,0.07923579,0.07113057,0.004544838,0.00344208,0.0002980113,0.001156556,0.00106953,0.822632],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04551088,"threshold_uncertainty_score":0.1522491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01454654390761697,"score_gpt":0.2576759009133718,"score_spread":0.2431293570057548,"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."}}