{"id":"W1002784839","doi":"","title":"Special Issue: Lake Simcoe and its watershed: multiple stressors and management challenges.","year":2011,"lang":"en","type":"article","venue":"Journal of Great Lakes Research","topic":"Soil erosion and sediment transport","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Watershed; Stressor; Hydrology (agriculture); Environmental science; Water resource management; Computer science; Geology; Psychology; Geotechnical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.001488962,0.002038122,0.002444374,0.001537832,0.001914572,0.003680762,0.002029105,0.006349331,0.04885424],"category_scores_gemma":[0.002473395,0.0006237698,0.00108742,0.001172592,0.001164393,0.002529566,0.001820299,0.002376036,0.009224397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008674601,"about_ca_system_score_gemma":0.001977766,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001910274,"about_ca_topic_score_gemma":0.006874148,"domain_scores_codex":[0.9995425,0.0000610479,0.00007937327,0.00007288007,0.0001665525,0.00007765113],"domain_scores_gemma":[0.9971077,0.0004676572,0.0002921403,0.000111483,0.0009994186,0.001021608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007352603,0.0000403957,0.0006085436,0.0004761561,0.00001848697,0.000605132,0.0000318315,0.00006535961,0.0004741146,0.0002326954,0.9796103,0.01776342],"study_design_scores_gemma":[0.00004079874,0.0001304708,0.006139599,0.0003111968,0.00005157084,0.001545854,0.0003364317,0.0004365379,0.0005065522,0.0009022814,0.9895718,0.00002701551],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.004519577,0.01668303,0.0009197608,0.09815409,0.8664007,0.000216177,0.0007936829,0.0003516533,0.01196136],"genre_scores_gemma":[0.01131046,0.01984744,0.0008250006,0.0123164,0.8784269,0.0001397657,0.001184229,0.000139556,0.07581026],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.9980897,"threshold_uncertainty_score":0.1634337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1493453432062138,"score_gpt":0.3016548527003561,"score_spread":0.1523095094941424,"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."}}