{"id":"W2994777465","doi":"10.1016/j.scitotenv.2019.135994","title":"Developing a roadmap to determine per- and polyfluoroalkyl substances-microbial population interactions","year":2019,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Per- and polyfluoroalkyl substances research","field":"Environmental Science","cited_by":67,"is_retracted":false,"has_abstract":false,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Environmental chemistry; Relative species abundance; Microbial population biology; Population; Confounding; Abundance (ecology); Ecosystem; Ecology; Environmental science; Biology; Environmental health; Chemistry; Medicine; Bacteria","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005936023,0.0001462637,0.0001396175,0.0000495132,0.0004326644,0.00005522664,0.0007756079,0.00002487191,0.001220145],"category_scores_gemma":[0.00002715867,0.00008763954,0.00005674102,0.000377637,0.0007903071,0.0003834502,0.0009010441,0.0001507494,0.0004751346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004554483,"about_ca_system_score_gemma":0.00002457538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005590827,"about_ca_topic_score_gemma":0.0000658996,"domain_scores_codex":[0.998165,0.00006527468,0.000232222,0.0003905354,0.0007358023,0.0004112184],"domain_scores_gemma":[0.9991707,0.00004943569,0.000100797,0.0005581112,0.000004800753,0.0001161054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00004846689,0.0000437312,0.01208848,0.000007252394,0.000007631284,4.313991e-7,0.001654401,0.01743857,0.9192218,0.0002272931,0.00008884451,0.04917312],"study_design_scores_gemma":[0.0002692822,0.0001041653,0.9162792,0.00004436894,0.0000131847,0.00004048714,0.0003333694,0.003896733,0.07592727,0.0003303656,0.002484562,0.0002769941],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954589,0.0002125186,0.00005267377,0.001714817,0.0002528725,0.0004913285,0.000006770494,0.000009314897,0.001800813],"genre_scores_gemma":[0.9958799,0.0000366062,0.0009635482,0.00007358809,0.0000242097,0.00001524792,7.985533e-7,0.00000917849,0.002996895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9041907,"threshold_uncertainty_score":0.9996929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01762322431563386,"score_gpt":0.2589439757458257,"score_spread":0.2413207514301919,"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."}}