{"id":"W2004916466","doi":"10.2135/cropsci2005.0209","title":"Root‐Zone Salinity","year":2005,"lang":"en","type":"article","venue":"Crop Science","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":132,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Salinity; Yield (engineering); Mathematics; Crop yield; Crop; Soil salinity; Statistics; Agronomy; Biology; Ecology; Physics","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":[0.001813107,0.0010546,0.0006208873,0.0009349114,0.0001743976,0.0009494301,0.0008175946,0.0007353328,0.001321474],"category_scores_gemma":[0.007255108,0.0002379917,0.0009314013,0.0009275224,0.0003888462,0.0009798473,0.0004731161,0.0005873257,0.0006230256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001614801,"about_ca_system_score_gemma":0.0007068406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004373807,"about_ca_topic_score_gemma":0.002716645,"domain_scores_codex":[0.9995022,0.0001339846,0.00004509441,0.000098577,0.0001733526,0.0000469007],"domain_scores_gemma":[0.9968439,0.001738496,0.0004588136,0.0003024566,0.0005907022,0.00006564325],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.002620896,0.000408475,0.1329873,0.0007643568,0.0005017414,0.0003295283,0.0006224219,0.5228378,0.08886357,0.008916955,0.002096164,0.2390508],"study_design_scores_gemma":[0.00004870073,0.0008357246,0.06843821,0.00005403676,0.0001346919,0.000395106,0.0001522999,0.8986598,0.02252579,0.003409711,0.005228525,0.0001174908],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8174182,0.0007482948,0.1740167,0.0001235261,0.00003538524,0.0001912496,0.0009740853,0.001040695,0.005451814],"genre_scores_gemma":[0.9755669,0.0003684497,0.02083878,0.00004141894,0.000006567398,0.0001502965,0.0009683122,0.00009997345,0.001959361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004373807,"threshold_uncertainty_score":0.01171619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01181917230722594,"score_gpt":0.2301115702219265,"score_spread":0.2182923979147006,"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."}}