{"id":"W7143899916","doi":"10.71465/ajbt160","title":"Biotechnology in Environmental Monitoring and Pollution Control","year":2020,"lang":"","type":"article","venue":"American Journal of Biotechnology","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Environmental pollution; Environmental monitoring; Pollution; Sustainability; Monitoring and control; Pollution prevention","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":[0.002352006,0.0005236574,0.0006770713,0.001572532,0.000631852,0.002445763,0.0007078359,0.002737053,0.001586953],"category_scores_gemma":[0.001396853,0.0002865827,0.0002637267,0.001520216,0.004976226,0.002855383,0.001461999,0.00270081,0.001017861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002153711,"about_ca_system_score_gemma":0.001356618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009182439,"about_ca_topic_score_gemma":0.0007002582,"domain_scores_codex":[0.9981249,0.0008503541,0.00008540956,0.0002546643,0.0005482715,0.0001363549],"domain_scores_gemma":[0.9993026,0.0003596823,0.00009792249,0.00005989,0.0001189242,0.00006099578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001252543,0.0002018138,0.001064759,0.001751227,0.00003150784,0.0004507599,0.0004495098,0.004249364,0.05775103,0.5284296,0.01235111,0.3931441],"study_design_scores_gemma":[0.0000206232,0.0003247656,0.001024591,0.0009192154,0.00002701768,0.001028387,0.0004215092,0.003160088,0.03736629,0.2125346,0.7431121,0.00006083919],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01304701,0.7789465,0.07871046,0.04367385,0.003712623,0.00006913894,0.00007326978,0.0002939559,0.08147319],"genre_scores_gemma":[0.2464588,0.6507648,0.06167514,0.009037779,0.00388263,0.0001713338,0.00008377768,0.00007438866,0.02785138],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002737053,"threshold_uncertainty_score":0.01562631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005650601013635592,"score_gpt":0.1977497385806473,"score_spread":0.1920991375670117,"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."}}