{"id":"W7018637625","doi":"","title":"Development and evaluation of SWATDRAIN, a new model to simulate the hydrology of agricultural tile drained watersheds","year":2014,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University","keywords":"Tile drainage; Water table; Hydrology (agriculture); Watershed; Soil and Water Assessment Tool; Drainage; Outflow; Table (database); Water balance","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":[0.0008776811,0.0005388642,0.0006061416,0.0002674336,0.0003036463,0.0006920506,0.001484496,0.000416788,0.0005996265],"category_scores_gemma":[0.001553904,0.0003656592,0.0005277613,0.0002572742,0.000385457,0.0008284572,0.0006335126,0.0006207515,0.0001451143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001732578,"about_ca_system_score_gemma":0.003061878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08369996,"about_ca_topic_score_gemma":0.0808924,"domain_scores_codex":[0.9997459,0.00004882637,0.00001662332,0.00005190789,0.0001077541,0.00002901734],"domain_scores_gemma":[0.9993536,0.0001812426,0.00005767103,0.00006823582,0.0002617995,0.00007742329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007617456,0.0000826968,0.007583101,0.00003186939,0.00004226149,0.00004852582,0.00005106622,0.9727336,0.002957173,0.0009061996,0.0006422331,0.01484515],"study_design_scores_gemma":[0.00001655442,0.00002003035,0.0005912026,0.000002131816,0.000005549468,0.000005138747,0.000006772223,0.9973621,0.001018103,0.00008472965,0.0008826144,0.000005074706],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8053033,0.0002836756,0.1811963,0.0003699685,0.0001230416,0.0003272415,0.001741647,0.003784562,0.00687024],"genre_scores_gemma":[0.8709923,0.0003382234,0.1222319,0.0001019046,0.00002195949,0.0002563482,0.002116638,0.0002927356,0.003647926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08369996,"threshold_uncertainty_score":0.1664256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02165052933598313,"score_gpt":0.2458362293939988,"score_spread":0.2241857000580157,"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."}}