{"id":"W4235545668","doi":"10.3410/f.726502008.793521019","title":"Faculty Opinions recommendation of Mobile genes in the human microbiome are structured from global to individual scales.","year":2016,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Microbiome; Human microbiome; Computational biology; Data science; Biology; Geography; Genetics; Computer science","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":[0.001462527,0.002423681,0.001634626,0.003165537,0.0006768496,0.002868254,0.002656736,0.002636187,0.05340375],"category_scores_gemma":[0.01011586,0.0007248333,0.001911128,0.005876376,0.0004523253,0.001570263,0.002626996,0.001901939,0.08443198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001222281,"about_ca_system_score_gemma":0.002662751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02145702,"about_ca_topic_score_gemma":0.05861533,"domain_scores_codex":[0.9984277,0.0002416618,0.0001831413,0.0005001731,0.0004194431,0.0002278446],"domain_scores_gemma":[0.9970993,0.0006337001,0.0004229205,0.0007676297,0.0006237453,0.000452708],"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":[0.0001197395,0.00002856882,0.003523293,0.0009225365,0.00008727847,0.00003061113,0.00002156765,0.0002988759,0.0002619174,0.0003166365,0.9901093,0.004279581],"study_design_scores_gemma":[0.0003558642,0.00003035395,0.01584038,0.0006317247,0.000109066,0.0001226914,0.00007397146,0.0008760247,0.000661388,0.001717523,0.9795368,0.00004418849],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002478289,0.0001524494,0.00008597987,0.0001160216,0.00004104725,0.000009215918,0.9983587,0.0003256937,0.000663079],"genre_scores_gemma":[0.0007011166,0.0001165775,0.0003135651,0.00008286476,0.0000140709,0.00003041739,0.9977971,0.00006041253,0.0008838756],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05340375,"threshold_uncertainty_score":0.1786534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0252933139805531,"score_gpt":0.3634173887987171,"score_spread":0.338124074818164,"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."}}