{"id":"W7034058555","doi":"","title":"Science and community monitoring to inform management of phosphorus in the Canadian Lake Erie watersheds","year":2023,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Medieval History and Crusades","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund; Royal Bank of Canada","keywords":"Tributary; Surface runoff; Watershed; Hydrology (agriculture); Drainage basin; Agriculture; Tile drainage; Drainage; Land cover; Agricultural land","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.002232227,0.0003757761,0.0003688374,0.003767264,0.002482966,0.001494736,0.00168517,0.0004059339,0.001504197],"category_scores_gemma":[0.005596614,0.0002264579,0.0002968241,0.006168667,0.0005815701,0.0009174633,0.001864469,0.0005844184,0.0001922717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0198747,"about_ca_system_score_gemma":0.03850629,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9815201,"about_ca_topic_score_gemma":0.9946231,"domain_scores_codex":[0.9978327,0.0003132959,0.00009639097,0.0003786621,0.0009273401,0.0004516399],"domain_scores_gemma":[0.9948908,0.0003134782,0.0005978748,0.0002119777,0.003511704,0.0004741313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007760385,0.0001061455,0.8275737,0.0003225154,0.0001735172,0.0001649497,0.003991665,0.001919352,0.002949235,0.001140998,0.02684188,0.1347384],"study_design_scores_gemma":[0.00001564593,0.00002734575,0.9604828,0.0001095176,0.00004999421,0.00002267806,0.004726908,0.0036251,0.0006055799,0.0004625263,0.02983745,0.00003433765],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9146837,0.002361271,0.007069125,0.006651584,0.0001026416,0.0008265396,0.02158853,0.0004713664,0.04624531],"genre_scores_gemma":[0.9644932,0.001519645,0.01853816,0.001084587,0.00003842332,0.0004508349,0.007607346,0.00004810556,0.006219697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0198747,"threshold_uncertainty_score":0.1442017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03984820154020259,"score_gpt":0.2250633795462649,"score_spread":0.1852151780060623,"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."}}