{"id":"W3114690628","doi":"10.3390/microorganisms9010090","title":"The Effect of an Adsorbent Matrix on Recovery of Microorganisms from Hydrocarbon-Contaminated Groundwater","year":2021,"lang":"en","type":"article","venue":"Microorganisms","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Northern Alberta Institute of Technology; University of Toronto; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tenax; Microcosm; Environmental chemistry; Microorganism; Biodegradation; Microbial population biology; Microbial biodegradation; Hydrocarbon; Bioremediation; Environmental remediation; Contamination; Chemistry; Toluene; Groundwater; Environmental science; Adsorption; Ecology; Bacteria; Biology; Organic chemistry; Geology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003612266,0.0002366547,0.0003211391,0.00002703634,0.0001153951,0.00004601613,0.0003971155,0.0001527019,0.002648521],"category_scores_gemma":[0.00005745956,0.0001605418,0.0001189186,0.0002706641,0.0002018984,0.0001081996,0.0001949466,0.000146595,0.0004754427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001333598,"about_ca_system_score_gemma":0.0000236607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000506062,"about_ca_topic_score_gemma":0.0004352618,"domain_scores_codex":[0.998237,0.0002783586,0.0004633543,0.0004157476,0.0003092946,0.0002963009],"domain_scores_gemma":[0.9989301,0.0001848574,0.0002345559,0.0005348475,0.00002245426,0.00009315928],"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":[0.0001494646,0.0001167718,0.003677631,0.000008219487,0.00003553702,0.00001291297,0.0002151366,0.00001490406,0.9922078,0.000004714926,0.0005459751,0.003010909],"study_design_scores_gemma":[0.0007976104,0.0007056176,0.01757911,0.00002300273,0.00003958533,0.000006937136,0.00007419668,0.00001874545,0.9789774,0.0000726302,0.001523008,0.0001821082],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984909,0.0001020286,0.00003253031,0.0001621728,0.0003781915,0.0002362923,0.00008873309,0.00002843417,0.0004807207],"genre_scores_gemma":[0.9984038,0.00005057529,0.0004023883,0.0001645357,0.00003541874,0.000002065936,0.0001094804,0.00003215774,0.0007995354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01390148,"threshold_uncertainty_score":0.9982632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002824632916382655,"score_gpt":0.197206903062732,"score_spread":0.1943822701463493,"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."}}