{"id":"W2346765471","doi":"10.2489/jswc.71.3.237","title":"Conservation management practices: Success story of the Hog Creek and Sturgeon River watersheds, Ontario, Canada","year":2016,"lang":"en","type":"article","venue":"Journal of Soil and Water Conservation","topic":"Soil erosion and sediment transport","field":"Agricultural and Biological Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Ministry of Agriculture, Food and Rural Affairs; Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Sturgeon; Environmental science; Watershed; Sediment; Soil conservation; Fencing; Erosion; Water quality; Agriculture; Hydrology (agriculture); Buffer strip; Watershed management; Water resource management; Fishery; Geography; Ecology; Geology; Fish <Actinopterygii>","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":[0.0006996341,0.000227046,0.0002961298,0.0009118193,0.004865789,0.001747735,0.0009001155,0.0003985076,0.001653582],"category_scores_gemma":[0.002020322,0.0002328984,0.0002165796,0.002561697,0.001648076,0.0006487899,0.001098573,0.0005402474,0.0001474575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04630516,"about_ca_system_score_gemma":0.05246966,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9943979,"about_ca_topic_score_gemma":0.9991807,"domain_scores_codex":[0.9989659,0.00008174543,0.00002823503,0.0001041486,0.0004922987,0.0003276969],"domain_scores_gemma":[0.9975652,0.0001221727,0.0002971158,0.00006509977,0.001267068,0.00068351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001536141,0.0001885134,0.911263,0.0001058609,0.00006236203,0.0008460337,0.02285023,0.000278472,0.001615678,0.001666985,0.005927798,0.0550415],"study_design_scores_gemma":[0.000006249643,0.00004481217,0.97484,0.00002824654,0.00001342731,0.00006251536,0.01777041,0.000181927,0.0001304251,0.00006467794,0.006845635,0.00001168685],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917557,0.0004308287,0.00007179208,0.001098539,0.000009091912,0.00004310758,0.0004626398,0.000008458404,0.006119931],"genre_scores_gemma":[0.9930106,0.0006893598,0.0002848369,0.0001569382,0.000004061294,0.0000195648,0.0003572106,0.000006746078,0.00547075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04630516,"threshold_uncertainty_score":0.335969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01853956532609429,"score_gpt":0.1861605091689764,"score_spread":0.1676209438428821,"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."}}