{"id":"W2789874562","doi":"10.1503/cmaj.170846","title":"The genome, microbiome and evolutionary medicine","year":2018,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Digestive system and related health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Centre for Disease Control; University of British Columbia","funders":"","keywords":"Evolutionary medicine; Microbiome; Genomics; Genomic medicine; Genome; Data science; Human microbiome; Computational biology; Biology; Bioinformatics; Computer science; Evolutionary biology; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002523588,0.0005726088,0.0007744713,0.0009529681,0.00178655,0.004793058,0.000834144,0.004457241,0.01655467],"category_scores_gemma":[0.005687396,0.0001806913,0.0002147642,0.001003927,0.00826302,0.004035146,0.003070144,0.007770545,0.00204737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003211713,"about_ca_system_score_gemma":0.004971698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007968374,"about_ca_topic_score_gemma":0.01096153,"domain_scores_codex":[0.9985455,0.0005923508,0.00005387395,0.0002354341,0.0003996635,0.0001730242],"domain_scores_gemma":[0.9970654,0.001374794,0.0001950495,0.0001114832,0.0003786344,0.0008746458],"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":[0.0001028989,0.00004937798,0.003353424,0.0006599352,0.00006925641,0.0006737103,0.001441562,0.0003744525,0.0008562423,0.3651247,0.4254113,0.2018833],"study_design_scores_gemma":[0.00001441271,0.00004118643,0.003461447,0.001449651,0.00001759159,0.00114944,0.001474157,0.0001581165,0.0001930931,0.2642253,0.727784,0.00003158346],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.002409077,0.2055078,0.002233407,0.7503298,0.01247345,0.00001533951,0.0002326738,0.00008635171,0.02671219],"genre_scores_gemma":[0.1664074,0.4309139,0.008704658,0.2722,0.07932302,0.00007211887,0.0004978908,0.0001421502,0.04173888],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01655467,"threshold_uncertainty_score":0.05538094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003810705617269303,"score_gpt":0.2284824985294508,"score_spread":0.2246717929121815,"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."}}