{"id":"W2213022123","doi":"10.1111/1751-7915.12034","title":"Applied metagenomics","year":2013,"lang":"en","type":"article","venue":"Microbial Biotechnology","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metagenomics; Bioremediation; Environmental science; Biology; Ecology; Contamination","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001025991,0.0001566259,0.0002138156,0.00005878108,0.0002049155,0.00001335108,0.0006226219,0.0005008206,0.0357254],"category_scores_gemma":[0.0000161015,0.0001517661,0.00005251792,0.0002168875,0.0006888368,0.000062554,0.0007119746,0.0004218619,0.01873502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007760081,"about_ca_system_score_gemma":0.00000707165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005622471,"about_ca_topic_score_gemma":0.0004716127,"domain_scores_codex":[0.9990271,0.00005732676,0.0001918873,0.0002924963,0.00002949866,0.0004017302],"domain_scores_gemma":[0.9993594,0.0000353648,0.0000665776,0.0004871952,0.000004471103,0.00004699234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000007424067,0.00004876413,0.000129951,0.000001446699,0.00001243721,9.508712e-7,0.00004773199,0.00003088332,0.9478441,0.001840954,0.04346583,0.006569546],"study_design_scores_gemma":[0.0005350112,0.0001330203,0.004157629,0.000001508421,0.00001984221,0.00005375379,0.00007518718,0.00004571801,0.5714927,0.008597037,0.4144338,0.000454871],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9770068,0.00001446056,0.000388752,0.002552105,0.0001734702,0.000338208,0.000005273585,0.0002022591,0.01931866],"genre_scores_gemma":[0.9928404,0.00002165985,0.004180695,0.00218464,0.00002476407,0.00002945254,0.00002999662,0.00001564499,0.0006727493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3763514,"threshold_uncertainty_score":0.982029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004953200749378722,"score_gpt":0.1713228051063197,"score_spread":0.166369604356941,"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."}}