{"id":"W6998945254","doi":"","title":"Assessing toluene biodegradation potential in groundwater using molecular biological tools","year":2022,"lang":"en","type":"dissertation","venue":"The Atrium (University of Guelph)","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Groundwater; Toluene; Biodegradation; Microbial population biology; Degradation (telecommunications); Microbial biodegradation; Contamination","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002328624,0.0001971871,0.0001559589,0.0004018023,0.000148892,0.0004760119,0.0001101403,0.0002339033,0.0005136203],"category_scores_gemma":[0.000299344,0.00009311042,0.0001248654,0.0003681503,0.0001318983,0.0002241935,0.0002024249,0.000193845,0.0001616794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002956627,"about_ca_system_score_gemma":0.0002646463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001770242,"about_ca_topic_score_gemma":0.003363937,"domain_scores_codex":[0.9998085,0.0000369382,0.00000881609,0.00003097746,0.00008125004,0.00003352642],"domain_scores_gemma":[0.9999237,0.00002423422,0.00001860029,0.000002503484,0.00002374044,0.000007233371],"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":[0.00002699307,0.0000247795,0.005532986,0.0000670084,0.000006235452,0.00003151151,0.00006777378,0.0003414912,0.9816104,0.0000957474,0.00002326893,0.01217172],"study_design_scores_gemma":[0.00000876462,0.0009313514,0.0493607,0.00004763994,0.0000511943,0.0001975536,0.0007094058,0.003011873,0.9417188,0.0003488552,0.003590235,0.00002358105],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916294,0.001035018,0.005465658,0.00007654347,0.000005203079,0.00004252885,0.0003196064,0.00002515561,0.001400819],"genre_scores_gemma":[0.9854915,0.001915671,0.01059642,0.00005717391,0.000004118249,0.00005233815,0.000351838,0.000003736444,0.001527243],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001770242,"threshold_uncertainty_score":0.003519893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02829505326978282,"score_gpt":0.2439847323489722,"score_spread":0.2156896790791894,"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."}}