{"id":"W2948066242","doi":"10.2134/agronj2018.08.0488","title":"Evaluation of Planter Errors Associated with Twin‐Row Soybean Production in Mississippi","year":2019,"lang":"en","type":"article","venue":"Agronomy Journal","topic":"Soybean genetics and cultivation","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Monsanto (Canada)","funders":"Mississippi Agricultural and Forestry Experiment Station, Mississippi State University","keywords":"Sowing; Row; Loam; Row crop; Agronomy; Mathematics; Yield (engineering); Canopy; Soil water; Environmental science; Biology; Soil science; Computer science; Agriculture","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":[0.0009787943,0.000304812,0.000238221,0.0002940216,0.0004080173,0.0003981932,0.0005088351,0.0002648169,0.0007253599],"category_scores_gemma":[0.00244682,0.0001761526,0.0003075765,0.0003218533,0.0002483714,0.0002829751,0.0004478709,0.0004251261,0.00008037353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002395638,"about_ca_system_score_gemma":0.001180686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07354363,"about_ca_topic_score_gemma":0.1830865,"domain_scores_codex":[0.9992488,0.0001497994,0.00005101463,0.0001900116,0.0002975006,0.00006290389],"domain_scores_gemma":[0.9967949,0.0009886438,0.0009069883,0.0001740221,0.0009006544,0.0002347393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002951655,0.001672106,0.6581328,0.0002847951,0.0004645002,0.0008593312,0.001673744,0.01656312,0.2598648,0.0004130582,0.0005998207,0.05652035],"study_design_scores_gemma":[0.00002781749,0.002855407,0.9528242,0.00001756719,0.0001330109,0.0002161167,0.0009028253,0.01729556,0.02402676,0.0001120752,0.001547153,0.00004152889],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990675,0.00003712897,0.0004655371,0.00002475125,0.000001392668,0.00001595687,0.00012383,0.00001274362,0.0002510982],"genre_scores_gemma":[0.9969855,0.0000723039,0.001871385,0.00004404448,0.000001212998,0.00003348217,0.0004741822,0.000009510628,0.0005082983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07354363,"threshold_uncertainty_score":0.1462311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0311766445409682,"score_gpt":0.2319001463267691,"score_spread":0.2007235017858009,"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."}}