{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002661828,0.0007687166,0.0003905906,0.0003981781,0.0002630371,0.0004879594,0.0002309507,0.0003131996,0.0006772368],"category_scores_gemma":[0.0005615997,0.0002570638,0.0003036976,0.0003485307,0.000190283,0.0003141964,0.0003385236,0.0002974578,0.0001860382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001600129,"about_ca_system_score_gemma":0.0002914112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001939106,"about_ca_topic_score_gemma":0.003437646,"domain_scores_codex":[0.9997057,0.00006707712,0.00002536417,0.00006397474,0.00007419198,0.00006361833],"domain_scores_gemma":[0.9997494,0.00008583696,0.00004455525,0.00001458421,0.00005997657,0.00004569238],"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":[0.0001312163,0.00003197878,0.0002269904,0.00006357958,0.000008869202,0.00001991684,0.00001451873,0.0000887849,0.9976199,0.000008090994,0.00001021588,0.001775836],"study_design_scores_gemma":[0.000009000033,0.001212185,0.005435091,0.00001975753,0.00004178774,0.0001035391,0.00006493126,0.001074361,0.9913234,0.0000128318,0.0006890909,0.00001413252],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972174,0.000756253,0.00129125,0.00003078016,0.00001932903,0.00003494998,0.0001359319,0.00003400772,0.0004799711],"genre_scores_gemma":[0.992755,0.0009600546,0.005074649,0.00004028415,0.00001011978,0.00003797995,0.0002507353,0.00001797766,0.0008530767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001939106,"threshold_uncertainty_score":0.003855646,"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."}}