{"id":"W4233219732","doi":"10.3410/f.1020697.236452","title":"Faculty Opinions recommendation of Suppressive subtractive hybridization as a tool for identifying genetic diversity in an environmental metagenome: the rumen as a model.","year":2004,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Metagenomics; Diversity (politics); Suppression subtractive hybridization; Rumen; Computational biology; Genetic diversity; Biology; Biotechnology; Ecology; Genetics; Sociology; Food science; Gene; Medicine; 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":[0.002167416,0.002195335,0.001484228,0.003141168,0.0006753001,0.002126158,0.002904382,0.002422418,0.0218346],"category_scores_gemma":[0.009474823,0.000720506,0.001780297,0.005036852,0.0003113849,0.0009002914,0.001153213,0.001505742,0.02305879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001343535,"about_ca_system_score_gemma":0.002724563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0342798,"about_ca_topic_score_gemma":0.06729385,"domain_scores_codex":[0.9986216,0.0003122343,0.0001488577,0.0004408907,0.0003331606,0.0001432878],"domain_scores_gemma":[0.996136,0.001222499,0.0005138327,0.0009777995,0.0007075429,0.0004423693],"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":[0.0003949949,0.0000994715,0.009232878,0.001444605,0.0003156098,0.00005708094,0.00003235655,0.001230397,0.000637567,0.0003617059,0.9782426,0.007950784],"study_design_scores_gemma":[0.001306317,0.000109988,0.04678907,0.0004517346,0.0004675265,0.0001426141,0.0001211171,0.004750102,0.002506359,0.00142088,0.9418537,0.00008053104],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005961155,0.00007552232,0.0001350639,0.000091806,0.00001885409,0.00001710123,0.9982067,0.0003910476,0.00046775],"genre_scores_gemma":[0.001126688,0.00005112781,0.0005531261,0.00004895447,0.000004765888,0.00005260579,0.9975671,0.00004204519,0.0005536882],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0342798,"threshold_uncertainty_score":0.07304406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03447692404547906,"score_gpt":0.340232086632182,"score_spread":0.3057551625867029,"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."}}