{"id":"W2807006987","doi":"10.1373/clinchem.2018.286518","title":"Improving Equivalency in Metagenomics: A Harmonized Process to Extract Fecal DNA","year":2018,"lang":"en","type":"article","venue":"Clinical Chemistry","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Calgary Laboratory Services; University of Calgary","funders":"","keywords":"Harmonization; Metagenomics; Computational biology; Fecal bacteriotherapy; Biology; Medicine; Genetics; Clostridium difficile; Gene","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":[0.07729063,0.002477022,0.003254223,0.0101673,0.001959106,0.007252666,0.003631972,0.002601944,0.004309762],"category_scores_gemma":[0.1093218,0.002130753,0.004040961,0.006401983,0.003908725,0.003620278,0.01088987,0.00568766,0.005639873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001168314,"about_ca_system_score_gemma":0.005742823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001314725,"about_ca_topic_score_gemma":0.0022036,"domain_scores_codex":[0.9534616,0.01822315,0.004791997,0.009173522,0.01335847,0.0009911627],"domain_scores_gemma":[0.959702,0.009663963,0.002931848,0.01511686,0.01185293,0.0007323365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00150333,0.0009560676,0.02286413,0.003549516,0.002392761,0.0008184506,0.0062017,0.00739733,0.2864377,0.02745348,0.01728353,0.6231421],"study_design_scores_gemma":[0.0006213122,0.002470003,0.05494208,0.002349725,0.002125941,0.001838947,0.002566003,0.02355002,0.4313215,0.094239,0.382821,0.001154552],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01035356,0.001919887,0.975548,0.0008853164,0.0004556306,0.002848664,0.001991765,0.003454602,0.002542525],"genre_scores_gemma":[0.01964994,0.0008963994,0.9700403,0.0008221675,0.0001860488,0.002277643,0.003348846,0.001459146,0.001319459],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.07729063,"threshold_uncertainty_score":0.4087568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04290672321599241,"score_gpt":0.3932661332943642,"score_spread":0.3503594100783718,"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."}}