{"id":"W2064582342","doi":"10.1080/14634981003788821","title":"Limnological characteristics of Canada's poorly known large lakes","year":2010,"lang":"en","type":"article","venue":"Aquatic Ecosystem Health & Management","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada","keywords":"Watershed; Environmental science; Hydrology (agriculture); Physical geography; Geography; Geology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0002719806,0.0001816279,0.0001653604,0.0009043421,0.00189719,0.0009784298,0.0003184653,0.0001361233,0.001314167],"category_scores_gemma":[0.001205596,0.000110143,0.0001300395,0.002142689,0.0005734671,0.0003258248,0.0006013007,0.0002208381,0.0001485515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009313544,"about_ca_system_score_gemma":0.01034942,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9565474,"about_ca_topic_score_gemma":0.9903423,"domain_scores_codex":[0.9997315,0.00001315729,0.0000150111,0.00003996571,0.0001254482,0.00007482759],"domain_scores_gemma":[0.9991791,0.00009180451,0.0001277036,0.00002724137,0.0004146204,0.000159545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008099931,0.00002325947,0.9624689,0.00005997966,0.00003983351,0.0002776562,0.002420192,0.0008677279,0.002359319,0.0006041566,0.003025724,0.02777233],"study_design_scores_gemma":[0.000001387845,0.000007716802,0.995628,0.000009508272,0.000009692025,0.00006667375,0.00102914,0.0003734012,0.0001932934,0.00004457303,0.002627937,0.000008568515],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891772,0.0003714672,0.0002904293,0.0001577147,0.000002918545,0.0000283853,0.003376608,0.00002817584,0.006567184],"genre_scores_gemma":[0.9960163,0.0003009031,0.000569652,0.00003462229,0.000002445156,0.00001228319,0.001525012,0.000005032522,0.001533546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04345256,"threshold_uncertainty_score":0.08741689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01236579655305502,"score_gpt":0.2523830963755516,"score_spread":0.2400172998224966,"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."}}