{"id":"W2081946928","doi":"10.2135/cropsci2000.4041070x","title":"Short‐Season Soybean Yield Compensation in Response to Population and Water Regime","year":2000,"lang":"en","type":"article","venue":"Crop Science","topic":"Soybean genetics and cultivation","field":"Agricultural and Biological Sciences","cited_by":135,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Biology; Agronomy; Population; Irrigation; Yield (engineering); Sowing; Interception; Biomass (ecology); Leaf area index; Growing season; Crop; Canopy; Panicle; Population density; Cropping system; Botany; Ecology","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":[0.000166855,0.0001845421,0.000146297,0.0001346282,0.0001076756,0.0001852948,0.000145053,0.0001407761,0.0005440784],"category_scores_gemma":[0.0003120876,0.0001472445,0.0001202728,0.00007038791,0.0001877371,0.0001378264,0.0001825482,0.000267577,0.00006769804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003610814,"about_ca_system_score_gemma":0.0001386746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00181138,"about_ca_topic_score_gemma":0.003886341,"domain_scores_codex":[0.9999155,0.00001984351,0.000006390074,0.00002262991,0.00001441641,0.00002120319],"domain_scores_gemma":[0.9997028,0.00005498456,0.00008197333,0.00002555927,0.0000314412,0.0001032401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0009116217,0.00009509303,0.02419643,0.00002024626,0.00003235516,0.00008546013,0.0001037943,0.0004940488,0.9697637,0.0000577419,0.00006613635,0.004173352],"study_design_scores_gemma":[0.00005065708,0.001562876,0.9243787,0.000003742505,0.00004332652,0.0001920855,0.0001452145,0.004394042,0.06855293,0.0001139156,0.0005414084,0.00002118493],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999806,0.00001506116,0.00007742607,0.000004666634,6.944347e-7,0.000001428716,0.00002479254,0.000005248639,0.00006462789],"genre_scores_gemma":[0.9995345,0.00001117099,0.00008808451,0.00001142733,8.240101e-7,0.000003794663,0.0000861107,0.000003973346,0.0002600707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00181138,"threshold_uncertainty_score":0.00360167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02827166966687231,"score_gpt":0.2440520234400403,"score_spread":0.215780353773168,"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."}}