{"id":"W7161965745","doi":"10.82308/42988","title":"Greenhouse gas emissions from drip irrigated tomato fields","year":2014,"lang":"en","type":"dissertation","venue":"","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Drip irrigation; Irrigation; Water content; Soil water; Growing season; Greenhouse; Moisture","routes":{"ca_aff":false,"ca_fund":false,"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":[0.0001400493,0.0002566108,0.0003228268,0.0002459898,0.0004638634,0.000336246,0.0002146318,0.0001928758,0.0005504988],"category_scores_gemma":[0.0001379792,0.0001346445,0.000189618,0.0004789474,0.0001813643,0.0002256875,0.0001442982,0.0002364179,0.00008537695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00191575,"about_ca_system_score_gemma":0.0005852233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1591127,"about_ca_topic_score_gemma":0.3441571,"domain_scores_codex":[0.9998726,0.000008413681,0.000006095156,0.00004948981,0.00004253609,0.00002091434],"domain_scores_gemma":[0.9998604,0.00002043316,0.00004439562,0.000009349281,0.00004382674,0.00002161667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005889378,0.0001271638,0.1880536,0.0001837376,0.00005364429,0.0006731486,0.0004075343,0.001594924,0.7997339,0.00003008719,0.0002509865,0.00830231],"study_design_scores_gemma":[0.00001609701,0.0003513254,0.9744037,0.000007097882,0.00001724508,0.00007980702,0.0004553024,0.000876645,0.0230251,0.00001808116,0.0007353329,0.00001430682],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992883,0.00004641735,0.00004286497,0.000008042698,8.588406e-7,0.000009595978,0.0003133173,0.000004569002,0.0002861879],"genre_scores_gemma":[0.9976389,0.0001962633,0.000352648,0.00003651186,0.000001597611,0.00002377119,0.00102631,0.000003641413,0.0007203105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1591127,"threshold_uncertainty_score":0.3163732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01165768781955999,"score_gpt":0.223928117447623,"score_spread":0.212270429628063,"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."}}