{"id":"W1910756122","doi":"10.5376/pgt.2013.04.0007","title":"Influence of Plant Growth Regulators and Nitrogen on Leaf Area Index, Specific Leaf Area, Specific Leaf Weight and Yield of Black Gram (&lt;i&gt;Vigna mungo&lt;/i&gt; L.)","year":2013,"lang":"en","type":"article","venue":"Plant Gene and Trait","topic":"Agricultural Science and Fertilization","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vigna; Gram; Yield (engineering); Leaf area index; Horticulture; Biology; Plant growth; Nitrogen; Index (typography); Agronomy; Botany; Chemistry; Bacteria","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":[0.000161233,0.000283424,0.0003851737,0.00004639264,0.0001998737,0.00007887176,0.0002237745,0.0001811574,0.0001267118],"category_scores_gemma":[0.00001906474,0.0001160829,0.00006736346,0.0003598414,0.0003472653,0.0003129891,0.00007732178,0.0001178666,0.000007231376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001229779,"about_ca_system_score_gemma":0.000007258018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001946425,"about_ca_topic_score_gemma":0.0003568973,"domain_scores_codex":[0.9982822,0.00004198347,0.0004210869,0.0005248477,0.0003625806,0.0003673127],"domain_scores_gemma":[0.9991929,0.0001858128,0.0002155601,0.00009346832,0.0000998569,0.0002124381],"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":[0.0001426987,0.0001285669,0.04321885,0.00003780278,0.00003360012,0.000007688857,0.0004627849,0.0000385951,0.9451838,0.001401287,0.003159028,0.006185269],"study_design_scores_gemma":[0.0002681775,0.0005133919,0.9407645,0.0001251004,0.0000232971,0.00004496561,0.0002321925,0.000140801,0.05260339,0.00133957,0.003601285,0.000343364],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974436,0.0009568122,0.000003252116,0.0002853954,0.00003581472,0.0003948518,0.0003063431,0.00002962569,0.0005443308],"genre_scores_gemma":[0.996603,0.002903859,0.00003165156,0.00008098978,0.00009635752,0.00001184498,0.0001692124,0.000002201297,0.0001008624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8975456,"threshold_uncertainty_score":0.4733722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01707638920463457,"score_gpt":0.1731674889233301,"score_spread":0.1560910997186955,"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."}}