{"id":"W2509988446","doi":"10.7554/elife.20061","title":"Leaving negative ancestors behind","year":2016,"lang":"en","type":"letter","venue":"eLife","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; Canadian Institute for Advanced Research","funders":"","keywords":"Firmicutes; Phylum; Bacteria; Biology; Evolutionary biology; Genetics","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":[0.004292679,0.0005477006,0.0008057273,0.0002512589,0.002347023,0.002375379,0.001048003,0.01126626,0.005615269],"category_scores_gemma":[0.01347653,0.0003762672,0.0005554302,0.0002218561,0.006086126,0.004723415,0.002994463,0.02523359,0.004632608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002131591,"about_ca_system_score_gemma":0.001032812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001307417,"about_ca_topic_score_gemma":0.0025826,"domain_scores_codex":[0.9981849,0.0005010978,0.0001137131,0.0004613713,0.000463609,0.0002752714],"domain_scores_gemma":[0.9938787,0.003187325,0.0004396526,0.0009475152,0.0006488236,0.0008979976],"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":[0.0005378712,0.00007749693,0.004319063,0.0003733712,0.0001824757,0.005582069,0.001819227,0.0002741025,0.01026587,0.1545647,0.6536598,0.1683439],"study_design_scores_gemma":[0.0001073538,0.00008712609,0.001517856,0.0002086746,0.00004504859,0.002844646,0.0008097171,0.0001703432,0.002402041,0.0990117,0.8927377,0.00005768895],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01070859,0.02249661,0.003004957,0.9280742,0.02506408,0.00001308763,0.0001662249,0.0002133706,0.01025891],"genre_scores_gemma":[0.1088739,0.01311969,0.001750745,0.8319152,0.02766437,0.00004411177,0.0001585889,0.0001972361,0.01627614],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01126626,"threshold_uncertainty_score":0.02270216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01693754852251835,"score_gpt":0.2311360724053848,"score_spread":0.2141985238828664,"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."}}