{"id":"W2799496819","doi":"10.5539/jas.v10n6p319","title":"Application of Plant Densities in Management Units in the Soybean Cultivation","year":2018,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Soil Management and Crop Yield","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sowing; Productivity; Context (archaeology); Mathematics; Division (mathematics); Altitude (triangle); Agronomy; Horticulture; Biology; Geometry; Arithmetic","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008295818,0.00005995311,0.00008946591,0.00004504998,0.00009581829,0.00004795561,0.0004918601,0.00002045051,0.000009468384],"category_scores_gemma":[0.00003685236,0.00001589725,0.00002496561,0.001803353,0.0001652474,0.0003224667,0.00004798255,0.00007490602,0.000003168635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003523937,"about_ca_system_score_gemma":0.000005307699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001639463,"about_ca_topic_score_gemma":0.0006955325,"domain_scores_codex":[0.9990264,0.00003675952,0.0002730591,0.00009766813,0.0004197524,0.0001464316],"domain_scores_gemma":[0.9994684,0.00006017092,0.000218043,0.00003181034,0.0001986422,0.00002294343],"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":[0.000118865,0.0003641733,0.2017314,0.00003437438,0.0000173865,0.0000193059,0.005992884,0.0001166217,0.6845125,0.01604686,0.003380558,0.08766511],"study_design_scores_gemma":[0.00008779615,0.0001463147,0.9865455,0.0000402659,0.000004092778,0.000008945707,0.00967075,0.00003977561,0.002540232,0.0002454277,0.0006224872,0.00004838588],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970838,0.00001688805,0.000005275486,0.001176694,0.00006916869,0.0001348633,0.000001194161,0.000002830707,0.00150929],"genre_scores_gemma":[0.9996914,0.00002203072,0.00005149389,0.00007938052,0.0001125194,0.000002598662,0.000002482274,1.462325e-7,0.0000379404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7848142,"threshold_uncertainty_score":0.09140066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01892987621911329,"score_gpt":0.2178012305647332,"score_spread":0.1988713543456199,"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."}}