{"id":"W2158883105","doi":"10.1016/s1161-0301(02)00107-7","title":"The DSSAT cropping system model","year":2002,"lang":"en","type":"article","venue":"European Journal of Agronomy","topic":"Greenhouse Technology and Climate Control","field":"Agricultural and Biological Sciences","cited_by":4294,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"DSSAT; Interface (matter); Computer science; Documentation; Cropping; Modular design; Crop simulation model; Agricultural engineering; Engineering; Crop; Agronomy; Agriculture; Ecology; Programming language","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":[0.0003276586,0.0004959246,0.0005827428,0.0003268487,0.000347843,0.0008003215,0.00126676,0.0009928255,0.009310062],"category_scores_gemma":[0.001118545,0.000381255,0.0005084138,0.0008859556,0.0002901116,0.0009730337,0.0003435879,0.0007550263,0.002043388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00115027,"about_ca_system_score_gemma":0.001303017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05696385,"about_ca_topic_score_gemma":0.02611836,"domain_scores_codex":[0.9998474,0.00005331587,0.000007056981,0.00003808839,0.00002751818,0.00002664128],"domain_scores_gemma":[0.9996591,0.0001272115,0.00002679729,0.00004893345,0.0001104617,0.00002748362],"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":[0.00005020078,0.00001969941,0.0005857109,0.00002578465,0.00002030027,0.00001973706,0.000009059252,0.9866658,0.000293495,0.00440011,0.00297201,0.004938064],"study_design_scores_gemma":[0.00003848822,0.00001174395,0.0003812056,0.000003063509,0.000009853278,0.000006347047,0.000005289574,0.9932233,0.0002237781,0.002607486,0.003479751,0.00000976281],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.4721836,0.001024374,0.3399673,0.002560575,0.0005146724,0.0004144007,0.06711522,0.007332826,0.1088872],"genre_scores_gemma":[0.9114593,0.0004688629,0.04906833,0.0001750757,0.00005366036,0.0002563095,0.01433875,0.0004113264,0.02376843],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.05696385,"threshold_uncertainty_score":0.1132646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02468349648099743,"score_gpt":0.1700633024464784,"score_spread":0.1453798059654809,"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."}}