{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004388786,0.0002659316,0.0003262262,0.0001453375,0.0002865655,0.0001984562,0.0003643806,0.0002752171,0.00002697845],"category_scores_gemma":[0.0002169582,0.0003012868,0.00007730996,0.0002271945,0.0001013532,0.0001244313,0.0004181174,0.0004300381,0.000006135668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001481982,"about_ca_system_score_gemma":0.00009981432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001450691,"about_ca_topic_score_gemma":0.0001388993,"domain_scores_codex":[0.9971783,0.001307007,0.0005849791,0.0003971124,0.0003123213,0.000220314],"domain_scores_gemma":[0.997437,0.0004713238,0.0002372816,0.0007753135,0.0009601851,0.0001189141],"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":[0.0000822224,0.0006704491,0.001809105,0.008676751,0.0004183467,0.0000119023,0.03940724,0.5403994,0.05329272,0.159819,0.001460495,0.1939524],"study_design_scores_gemma":[0.0005418817,7.769848e-7,0.0009103541,0.003906119,0.00006935124,0.00001059083,0.0002590768,0.8379444,0.1517883,0.0005214465,0.003562819,0.0004847977],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2965511,0.001747937,0.6874985,0.0003259221,0.0003289747,0.0004581795,0.00001918063,0.0004523882,0.01261784],"genre_scores_gemma":[0.9607916,0.0002525724,0.03788007,0.00001354988,0.00001738238,0.00001779824,0.0001873738,0.00004301768,0.0007966117],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6642405,"threshold_uncertainty_score":0.9999439,"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."}}