{"id":"W7071291576","doi":"","title":"Sauble River watershed drainage study","year":2019,"lang":"en","type":"report","venue":"The Atrium (University of Guelph)","topic":"Water Quality and Resources Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute of Mining, Metallurgy and Petroleum","funders":"","keywords":"Drainage; Hydrology (agriculture); Watershed; Water quality; Watertable control; Groundwater; Drainage basin; Drainage system (geomorphology); Water resources","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":[0.0003372903,0.0002031459,0.0002978068,0.001386854,0.001459833,0.001069813,0.0003631557,0.0001870768,0.004148209],"category_scores_gemma":[0.001166712,0.0001580472,0.0002478068,0.002072788,0.0003962204,0.0004277419,0.001130808,0.0003886227,0.0007789414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001050552,"about_ca_system_score_gemma":0.003395802,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08577449,"about_ca_topic_score_gemma":0.2467448,"domain_scores_codex":[0.9993598,0.0001478646,0.00004764648,0.0001063141,0.0002403291,0.00009815155],"domain_scores_gemma":[0.9991776,0.0001152237,0.0001257533,0.00006013913,0.0003658031,0.0001554154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004247652,0.0004132505,0.8437302,0.0003101081,0.00008977768,0.002928565,0.01392063,0.001577602,0.007226492,0.003666095,0.01837137,0.1073412],"study_design_scores_gemma":[0.0000282063,0.0003052201,0.8940244,0.0001031598,0.00002908537,0.001236076,0.01284993,0.0009625876,0.001901968,0.0005324123,0.08798581,0.00004114012],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9549604,0.0001045303,0.0007713234,0.0002364906,0.00001727913,0.0002992366,0.00704122,0.00005813776,0.03651141],"genre_scores_gemma":[0.9726198,0.0003131646,0.004166721,0.0001003441,0.00001743967,0.0004808805,0.008758483,0.00002984021,0.01351345],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9142255,"threshold_uncertainty_score":0.1705505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05020912877978573,"score_gpt":0.2335053662903731,"score_spread":0.1832962375105874,"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."}}