{"id":"W2626559168","doi":"10.6000/1927-5129.2017.13.50","title":"Effect of Different Levels of Zinc on the Growth and Yield of Cotton (Gossypium hirsutum L) Crop","year":2017,"lang":"en","type":"article","venue":"Journal of Basic & Applied Sciences","topic":"Research in Cotton Cultivation","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Kharif crop; Randomized block design; Zinc; Crop; Field experiment; Yield (engineering); Population; Horticulture; Agronomy; Gossypium; Biology; Animal science; Mathematics; Chemistry; Medicine","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":[0.002493315,0.0001043982,0.0003207008,0.00003296954,0.0003428944,0.00007683351,0.0008497441,0.0000505429,0.00007042567],"category_scores_gemma":[0.0009274628,0.00002807203,0.00009624402,0.0001598618,0.001060563,0.0001515078,0.0001190385,0.0001636587,5.334819e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001029881,"about_ca_system_score_gemma":0.00002260673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005844257,"about_ca_topic_score_gemma":0.00002026247,"domain_scores_codex":[0.9983036,0.0001183983,0.0004022603,0.0001425881,0.0008633711,0.0001697614],"domain_scores_gemma":[0.9967056,0.001985033,0.001016261,0.00008893287,0.0001392815,0.00006492386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001300025,0.00005624894,0.01229871,0.00003249795,0.00001270014,5.422688e-7,0.0000854214,0.000002974726,0.9622986,0.003098173,0.0001108276,0.02187332],"study_design_scores_gemma":[0.0001439632,0.001882775,0.2946578,0.0001055837,0.000009239995,0.00000235997,0.0001414648,0.00002262843,0.7016098,0.001357547,0.00002238031,0.00004441181],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947058,0.0000398746,0.000004662395,0.001972795,0.0001006466,0.0001773828,0.000008962222,0.0000017866,0.002988119],"genre_scores_gemma":[0.9997875,0.00004700376,0.00002675608,0.00002233846,0.000094374,0.000002476472,1.588937e-7,5.456737e-7,0.00001881876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2823591,"threshold_uncertainty_score":0.3907687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06764804973641728,"score_gpt":0.3010616161299061,"score_spread":0.2334135663934888,"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."}}