{"id":"W2000794709","doi":"10.1016/j.still.2008.04.004","title":"Effects of tillage and traffic on crop production in dryland farming systems: I. Evaluation of PERFECT soil-crop simulation model","year":2008,"lang":"en","type":"article","venue":"Soil and Tillage Research","topic":"Soil erosion and sediment transport","field":"Agricultural and Biological Sciences","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Australian Centre for International Agricultural Research","keywords":"Tillage; Mulch-till; Environmental science; Crop; No-till farming; Agronomy; Agroforestry; Production (economics); Strip-till; Crop production; Agricultural engineering; Minimum tillage; Simulation modeling; Agriculture; Mathematics; Soil science; Soil fertility; Soil water; Geography; Engineering; Biology; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006704639,0.00048001,0.0005224125,0.0002837732,0.000277189,0.0004576908,0.0005781542,0.0005924408,0.00099258],"category_scores_gemma":[0.002255632,0.0002934386,0.0004966115,0.0003274344,0.0004004729,0.0005642531,0.0004060221,0.000373706,0.00006959726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008810163,"about_ca_system_score_gemma":0.0006530798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04969317,"about_ca_topic_score_gemma":0.03120593,"domain_scores_codex":[0.9997806,0.000107926,0.00001221354,0.00003103647,0.0000198509,0.00004838284],"domain_scores_gemma":[0.9981559,0.001335278,0.0001754034,0.00006881243,0.000139841,0.0001248334],"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":[0.0002230682,0.0001300767,0.01149644,0.00002899927,0.00004002717,0.00006267363,0.00002909621,0.9850568,0.0009137327,0.0002845651,0.0001710666,0.001563466],"study_design_scores_gemma":[0.00007277884,0.0001803679,0.007993276,0.000005670062,0.00003723253,0.00001234566,0.00005181545,0.9906262,0.0007510152,0.0001534311,0.0001046021,0.00001122928],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979711,0.00004939928,0.0009000861,0.00004461457,0.000006776217,0.00001090236,0.000235899,0.00003063125,0.0007505271],"genre_scores_gemma":[0.9988997,0.00004730046,0.0005796404,0.00001353561,0.000003245614,0.000007205388,0.0001474907,0.000009877898,0.0002920834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04969317,"threshold_uncertainty_score":0.09880787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0997774505506327,"score_gpt":0.3270764818701054,"score_spread":0.2272990313194727,"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."}}