{"id":"W7027236020","doi":"","title":"Chitobiase as a tool in water quality monitoring","year":2016,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"Medical and Biological Sciences","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Benthic zone; Water quality; River ecosystem; Habitat; Microcosm; Invertebrate; Mesocosm; Wastewater; Effluent; Aquatic ecosystem","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002087657,0.0005166917,0.0004336759,0.002886531,0.000501499,0.001022094,0.0005842188,0.0007005629,0.001132917],"category_scores_gemma":[0.001547377,0.00031008,0.0002522281,0.002719574,0.0004829022,0.0006785981,0.0007722295,0.0007172426,0.0004605023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006972054,"about_ca_system_score_gemma":0.0008678326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01244865,"about_ca_topic_score_gemma":0.04635074,"domain_scores_codex":[0.9986877,0.0006258475,0.00006323621,0.000146978,0.0004049524,0.00007142282],"domain_scores_gemma":[0.999,0.0002345339,0.0002134527,0.00005569792,0.0003642635,0.0001320687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004793363,0.000512213,0.5236663,0.0008947064,0.0001435118,0.000385585,0.0007188095,0.001120167,0.1991015,0.0007447153,0.001990697,0.2702424],"study_design_scores_gemma":[0.00004136608,0.002759532,0.9007087,0.0005725118,0.0002674041,0.0009967125,0.002058747,0.006361536,0.05894689,0.0007883946,0.0263766,0.0001216119],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8930461,0.03686834,0.03830536,0.001989315,0.0004005844,0.00102475,0.001818613,0.0003817773,0.02616508],"genre_scores_gemma":[0.8701248,0.01632745,0.103532,0.0005439754,0.0001026232,0.0004334707,0.0006084841,0.00002226424,0.008305045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01244865,"threshold_uncertainty_score":0.02475238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03567303540365087,"score_gpt":0.2758895924699319,"score_spread":0.240216557066281,"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."}}