{"id":"W2968341572","doi":"10.1139/cjss-2019-0016","title":"Impact of deficit irrigation and addition of biochar and polymer on soil salinity and tomato productivity","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Soil Science","topic":"Irrigation Practices and Water Management","field":"Agricultural and Biological Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biochar; Irrigation; Soil salinity; Salinity; Water-use efficiency; Soil water; Deficit irrigation; Agronomy; Saline water; Evapotranspiration; Environmental science; Water content; Water use; Chemistry; Irrigation management; Soil science; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0001982615,0.0004392883,0.0004814106,0.0002305008,0.0001694237,0.0004198792,0.00026562,0.0003096212,0.0008068114],"category_scores_gemma":[0.0003144197,0.0001516622,0.0003325212,0.0002139973,0.0002052332,0.0004671114,0.0002939997,0.0003798023,0.0001157843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004222651,"about_ca_system_score_gemma":0.0004009404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00276608,"about_ca_topic_score_gemma":0.005729206,"domain_scores_codex":[0.999773,0.00003529948,0.00002501051,0.00006571431,0.00005872285,0.00004227809],"domain_scores_gemma":[0.9997354,0.00004396023,0.00007585925,0.00001625589,0.0000659357,0.00006258797],"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":[0.0006040099,0.0001021728,0.005397964,0.0002064806,0.00004634106,0.00006645633,0.0000262421,0.0004074226,0.9876729,0.00002386781,0.00003099813,0.005415048],"study_design_scores_gemma":[0.00005596636,0.003948478,0.1259949,0.00003342841,0.0002539131,0.0001490459,0.0004069443,0.00332792,0.8617764,0.0001344092,0.003872246,0.00004634742],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985344,0.0004190019,0.0004359308,0.00002657399,0.00001371155,0.00001703635,0.0001275236,0.00001284179,0.0004129753],"genre_scores_gemma":[0.998005,0.000326481,0.0008523547,0.00004776648,0.0000056458,0.00001874709,0.0001294327,0.000007436099,0.0006071723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00276608,"threshold_uncertainty_score":0.005499959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01497469730108818,"score_gpt":0.2257376722129462,"score_spread":0.210762974911858,"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."}}