{"id":"W2961956121","doi":"10.1016/j.tim.2019.06.003","title":"Making the Most of Trait-Based Approaches for Microbial Ecology","year":2019,"lang":"en","type":"review","venue":"Trends in Microbiology","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":101,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Biology; Ecology; Trait; Microbial ecology; Evolutionary biology; Bacteria; Genetics; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007726804,0.0004976428,0.002033687,0.0002758099,0.0001462588,0.000006200597,0.001555767,0.001154684,0.003672312],"category_scores_gemma":[0.00004979258,0.0003547269,0.000561715,0.0005568689,0.001238378,0.00002823403,0.0005103811,0.0008605389,0.0001450463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002175919,"about_ca_system_score_gemma":0.0001103504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008884201,"about_ca_topic_score_gemma":0.003350864,"domain_scores_codex":[0.9964357,0.001355647,0.0008933272,0.0006245788,0.00002498058,0.0006657602],"domain_scores_gemma":[0.9970773,0.00144049,0.0006654884,0.0007839826,0.000008393858,0.00002429282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001789703,0.0005479776,0.0001281477,0.003554918,0.0002523905,0.00000387076,0.0003310349,0.0007146095,0.0027296,0.0005408004,0.04230519,0.9487125],"study_design_scores_gemma":[0.0005507632,0.0002777924,0.0001126452,0.0002980552,0.0002714369,0.00005853384,0.00001439781,0.00002498269,0.00002174378,0.00008790459,0.9979219,0.000359846],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00193649,0.9858053,0.0001140933,0.0003874658,0.001772943,0.002974423,0.002237005,0.00005363573,0.004718679],"genre_scores_gemma":[0.02666124,0.9297419,0.007274492,0.003985771,0.0006050794,0.001861121,0.02350237,0.0005383666,0.005829707],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9556167,"threshold_uncertainty_score":0.9998904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1558304934669411,"score_gpt":0.3414355511134792,"score_spread":0.1856050576465381,"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."}}