{"id":"W7036601255","doi":"","title":"A critical examination of chemical extremes in freshwater systems","year":2015,"lang":"en","type":"dissertation","venue":"Knowledge Commons (Lakehead University)","topic":"Mine drainage and remediation techniques","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Eutrophication; Acid neutralizing capacity; Water quality; Hydrology (agriculture); Surface runoff; Watershed; Climate change; Sampling (signal processing)","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":[0.00147309,0.0001956163,0.0003672738,0.001685376,0.001097611,0.002606256,0.0005718218,0.0005653861,0.003751749],"category_scores_gemma":[0.005109308,0.0001808356,0.0003223671,0.001946078,0.001136182,0.002196461,0.001850466,0.000971398,0.0002138549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002183477,"about_ca_system_score_gemma":0.001334271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01111393,"about_ca_topic_score_gemma":0.01308758,"domain_scores_codex":[0.9993237,0.000178529,0.00005191274,0.0001229475,0.0002410515,0.00008184464],"domain_scores_gemma":[0.9975017,0.0008711455,0.0006773856,0.0001375908,0.0006723104,0.0001398039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004950183,0.000124093,0.35414,0.002457267,0.0003690527,0.003058558,0.01050619,0.05373967,0.02392378,0.2273702,0.02197398,0.3018422],"study_design_scores_gemma":[0.00002067425,0.0004364032,0.5658096,0.001155706,0.000121294,0.0008892926,0.01812128,0.03859189,0.01026815,0.1575533,0.2067681,0.0002642304],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7951625,0.01020286,0.04473528,0.01859076,0.0006426142,0.0003103472,0.004874968,0.0005274403,0.1249533],"genre_scores_gemma":[0.9807099,0.003807774,0.009404444,0.0009940474,0.0002898034,0.00007030708,0.0005230592,0.00005661359,0.004144019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01111393,"threshold_uncertainty_score":0.02209848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0220335260998034,"score_gpt":0.2575996910476442,"score_spread":0.2355661649478408,"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."}}