{"id":"W4299999785","doi":"","title":"Surface irrigation of dairy farm effluent. Part II : System design and operation","year":2007,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Coal Combustion and Slurry Processing","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Effluent; Irrigation; Environmental science; Surface irrigation; Agricultural engineering; Engineering; Water resource management; Environmental engineering; Agronomy; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003987164,0.0004727289,0.0004518888,0.0002868183,0.0004139227,0.0008084434,0.0007208058,0.0004663528,0.003230655],"category_scores_gemma":[0.0002683173,0.0003468161,0.0002979746,0.000352981,0.000245486,0.0004363284,0.0004489267,0.0002655939,0.0008425785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009020714,"about_ca_system_score_gemma":0.0009296418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003022021,"about_ca_topic_score_gemma":0.003023294,"domain_scores_codex":[0.9996355,0.00007320773,0.0000242059,0.0001046011,0.0001266193,0.00003580485],"domain_scores_gemma":[0.9998075,0.00003561219,0.00002599293,0.00002387312,0.00008419182,0.00002292342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008548363,0.0005659782,0.02017756,0.000738505,0.00005889152,0.0001683737,0.0003235647,0.05574262,0.5421546,0.001256912,0.003044654,0.3749135],"study_design_scores_gemma":[0.0006176935,0.0114434,0.08900762,0.0001176049,0.0002477822,0.0005910993,0.0003643212,0.5338539,0.2918735,0.002253573,0.06946654,0.0001630046],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4505951,0.0009947319,0.5315541,0.0002266758,0.00007238744,0.001879174,0.0007333644,0.002921262,0.01102322],"genre_scores_gemma":[0.8976377,0.0003940327,0.09362366,0.00006530645,0.00002477869,0.001013554,0.0004495183,0.00008149165,0.006709979],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003230655,"threshold_uncertainty_score":0.01080763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02037781101754173,"score_gpt":0.2263789228944402,"score_spread":0.2060011118768985,"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."}}