{"id":"W2901540346","doi":"10.5539/jas.v10n10p231","title":"Optimum Plot Size for Experimental Cassava Production","year":2018,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Cassava research and cyanide","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mathematics; Plot (graphics); Split plot; Production (economics); Linear regression; Statistics; Agronomy; Biology; Randomized block design","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":[0.000852253,0.0001110481,0.0001526385,0.00001817691,0.0005784996,0.0001877574,0.0005345086,0.00003864635,0.0001766822],"category_scores_gemma":[0.0006543905,0.00003153099,0.00013239,0.0007349826,0.0004385788,0.0008254683,0.00007855929,0.0001130646,0.00001889232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001364636,"about_ca_system_score_gemma":0.00004623025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000316196,"about_ca_topic_score_gemma":0.00007145287,"domain_scores_codex":[0.9983385,0.00002921723,0.000279388,0.000232002,0.0007023594,0.0004185472],"domain_scores_gemma":[0.9983631,0.000127545,0.0002189537,0.00003977231,0.0009909247,0.0002597233],"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":[0.00006573978,0.00007951385,0.0002224103,0.000001262119,0.000004521987,0.00000159963,0.0001014026,0.000001915548,0.9894379,0.00006207083,0.006169888,0.003851801],"study_design_scores_gemma":[0.0001824273,0.002394664,0.2834448,0.00002304011,0.00000693586,0.0003163826,0.001835211,0.000008846064,0.7050875,0.00009364836,0.006463759,0.0001427693],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954055,0.0001055699,0.000003172875,0.003093341,0.0006659214,0.0002087914,0.000005014403,0.00001597414,0.0004967421],"genre_scores_gemma":[0.9962251,0.00001312409,0.0007271565,0.00007473685,0.002324877,0.000005674228,0.000001059967,5.263668e-7,0.0006277375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2843504,"threshold_uncertainty_score":0.444941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03483229860380507,"score_gpt":0.2918557286348006,"score_spread":0.2570234300309956,"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."}}