{"id":"W2044840157","doi":"10.2134/agronj2011.0245","title":"Sweet Pearl Millet Yields and Nutritive Value as Influenced by Fertilization and Harvest Dates","year":2012,"lang":"en","type":"article","venue":"Agronomy Journal","topic":"Plant nutrient uptake and metabolism","field":"Agricultural and Biological Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Agriculture and Agri-Food Canada; Université Laval","funders":"Samsung; Ministère de l'Agriculture, des Pêcheries et de l'Alimentation","keywords":"Human fertilization; Pennisetum; Agronomy; Forage; Dry matter; Neutral Detergent Fiber; Yield (engineering); Animal science; Biology; Pearl; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002366202,0.0001081374,0.0001311506,0.0000132254,0.0002814665,0.0001499853,0.00007960793,0.00007414666,0.0001148953],"category_scores_gemma":[0.00004406433,0.00004381037,0.00002801305,0.00008219846,0.00005655863,0.0006595617,0.00004112525,0.0001388714,0.00001278798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007908373,"about_ca_system_score_gemma":0.00000562934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001045168,"about_ca_topic_score_gemma":0.00001169445,"domain_scores_codex":[0.9992834,0.00006547745,0.0001567439,0.0001246162,0.0001098375,0.0002599013],"domain_scores_gemma":[0.9995195,0.0000937916,0.00008389843,0.00002051201,0.00003791822,0.000244439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001690676,0.0003357609,0.5263264,0.00001059732,0.0001010232,0.00001074498,0.001483366,0.000001505571,0.2706168,0.003619299,0.03126334,0.1660621],"study_design_scores_gemma":[0.0003356687,0.0001101214,0.6227893,0.00003511235,0.00002989699,0.0002103171,0.0006257735,0.000005438805,0.004003108,0.0005296955,0.3711545,0.0001710617],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868884,0.01126653,0.000009978306,0.0007621109,0.00009472617,0.00008854268,0.0000264247,0.00001236661,0.0008509238],"genre_scores_gemma":[0.9941354,0.004607197,0.00008234506,0.0004341226,0.0003193644,0.000003652706,0.00004605286,7.661644e-7,0.0003711203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3398911,"threshold_uncertainty_score":0.2164842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01182878851941006,"score_gpt":0.2108358237735589,"score_spread":0.1990070352541489,"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."}}