{"id":"W2735022404","doi":"10.1101/163774","title":"Ecological selection of siderophore-producing microbial taxa in response to heavy metal contamination","year":2017,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Natural Environment Research Council; Biotechnology and Biological Sciences Research Council; Horizon 2020 Framework Programme; Royal Society; AXA Research Fund; University of Exeter; European Commission","keywords":"Siderophore; Microcosm; Biology; Taxon; Environmental remediation; Contamination; Ecology; Heavy metals; Environmental chemistry; Bacteria; Chemistry","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":[0.0008425392,0.0001889713,0.0003335363,0.0005640846,0.0003444441,0.0005926772,0.0002915432,0.0004298091,0.001700952],"category_scores_gemma":[0.001476509,0.0001351566,0.0002091567,0.0003546518,0.0003287682,0.0002818349,0.0007279252,0.0003925597,0.000231111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003253781,"about_ca_system_score_gemma":0.0002601572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001055604,"about_ca_topic_score_gemma":0.001853864,"domain_scores_codex":[0.9994503,0.0001740273,0.00002461983,0.0001634654,0.00009435983,0.00009316281],"domain_scores_gemma":[0.998861,0.0003460247,0.0002710138,0.00008035208,0.0002101066,0.0002314465],"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":[0.0006931641,0.000122806,0.1113132,0.000141508,0.00006908619,0.0001460261,0.0004799102,0.0007842371,0.8760816,0.0004521711,0.0003278908,0.009388434],"study_design_scores_gemma":[0.00004007975,0.0005384894,0.9494649,0.00002092329,0.00004168398,0.0003215455,0.001241891,0.006979316,0.03805158,0.001604686,0.001657711,0.00003710548],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979572,0.00006453804,0.001101654,0.00006349477,0.000006178455,0.00001645933,0.0002077976,0.00001167221,0.0005709744],"genre_scores_gemma":[0.99797,0.0000436103,0.001286904,0.0000548633,0.000003881446,0.0000314136,0.0001639083,0.000007554507,0.0004378224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001700952,"threshold_uncertainty_score":0.005690217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01924211904803404,"score_gpt":0.2654272020757963,"score_spread":0.2461850830277623,"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."}}