{"id":"W4389748069","doi":"10.53555/sfs.v9i1.1867","title":"Determining the Optimal Plant Spacing for Cotton Varieties to Enhance the Growth and Yield of Cotton Under HDPS in Karaikal Region.","year":2022,"lang":"en","type":"article","venue":"Journal of Survey in Fisheries Sciences","topic":"Research in Cotton Cultivation","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Yield (engineering); Crop; Cultivar; Dry matter; Mathematics; Leaf area index; Plant growth; Agronomy; Population; Field experiment; Crop yield; Fiber crop; Productivity; Horticulture; Malvaceae; Biology; Physics","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":[0.0053552,0.00007853056,0.0001713832,0.00004559826,0.0004635477,0.0001326998,0.0005578967,0.00002646971,0.00002104195],"category_scores_gemma":[0.001732781,0.00002613468,0.00003706281,0.000757824,0.0003971673,0.0003154885,0.000165606,0.0002283401,5.193645e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003655704,"about_ca_system_score_gemma":0.00005264523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001167784,"about_ca_topic_score_gemma":0.003802416,"domain_scores_codex":[0.9982858,0.0004344166,0.0003775134,0.0001505732,0.0005261403,0.0002255327],"domain_scores_gemma":[0.9955982,0.003927699,0.0002749187,0.0000356288,0.0001264824,0.00003709687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002833309,0.00005090745,0.9772663,0.000009964205,0.000005659456,0.000002726909,0.002552102,0.001445575,0.0142934,0.0001965752,0.001227165,0.002666288],"study_design_scores_gemma":[0.0000900868,0.001178684,0.9853567,0.00003601823,0.000001744554,0.00001786456,0.008125055,0.0001738483,0.003959047,0.0005484393,0.0004356618,0.00007685423],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910088,0.00007629984,0.00004072232,0.008440248,0.0001460558,0.0001993397,0.00001812326,0.000001955607,0.0000684906],"genre_scores_gemma":[0.9994961,0.00007085718,0.0001508105,0.000192919,0.00004459497,0.00001619645,0.000001768315,6.932629e-7,0.0000260445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01033435,"threshold_uncertainty_score":0.3565281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.264911371425217,"score_gpt":0.3067779522829653,"score_spread":0.04186658085774836,"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."}}