{"id":"W2098229384","doi":"10.1061/(asce)0733-9437(2002)128:3(185)","title":"Development of Comprehensive Soil Salinity Index","year":2002,"lang":"en","type":"article","venue":"Journal of Irrigation and Drainage Engineering","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Salinity; Soil salinity; Dryness; Irrigation; DNS root zone; Crop; Environmental science; Crop yield; Agronomy; Index (typography); Yield (engineering); Hydrology (agriculture); Soil water; Soil science; Geology; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008903927,0.00009336599,0.0001681805,0.0001475114,0.0000242607,0.00001498828,0.0000513495,0.00005527313,0.00002327924],"category_scores_gemma":[0.00001950897,0.00008588225,0.00003688143,0.0001289918,0.00001131896,0.0001420159,0.00000889587,0.0001779789,0.000002078768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002879703,"about_ca_system_score_gemma":0.000007001599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.269657e-7,"about_ca_topic_score_gemma":6.69808e-7,"domain_scores_codex":[0.9993716,0.000005671223,0.0003499584,0.00004141192,0.0001340816,0.00009722366],"domain_scores_gemma":[0.9996797,0.00003776012,0.00007525988,0.00004773054,0.00008867152,0.00007084532],"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":[0.00002595868,0.00008574246,0.0002660944,0.0008358077,0.0004118018,0.00006921805,0.01047176,0.7416249,0.1426965,0.002865621,0.0006118174,0.1000347],"study_design_scores_gemma":[0.001456495,0.00006076379,0.02221205,0.000359339,0.00003355235,0.0001397587,0.0008286671,0.9278494,0.03729805,0.0003615257,0.009026952,0.0003735149],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9724497,0.000935658,0.02354592,0.00002499302,0.0003709724,0.00003473328,9.386166e-7,0.00004933941,0.002587741],"genre_scores_gemma":[0.9936185,0.00002735512,0.006242641,0.00001146407,0.00006996086,6.42843e-7,7.168172e-7,0.00001250314,0.00001623246],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1862244,"threshold_uncertainty_score":0.3502176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01591576768932853,"score_gpt":0.1992953042147022,"score_spread":0.1833795365253737,"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."}}