{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001068122,0.0005793499,0.0007947538,0.0005662453,0.0004716495,0.0006204058,0.0008844315,0.0006395043,0.002050453],"category_scores_gemma":[0.0020285,0.0003237999,0.0004665258,0.0004062752,0.0004094915,0.0006122196,0.000911947,0.0008478267,0.0004621708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006556298,"about_ca_system_score_gemma":0.0003971606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005571656,"about_ca_topic_score_gemma":0.001241459,"domain_scores_codex":[0.9979705,0.0006527019,0.0002056438,0.0007420973,0.0002745669,0.0001544288],"domain_scores_gemma":[0.9961013,0.001808668,0.000618013,0.0003667096,0.0005272237,0.0005780149],"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":[0.002135714,0.0007599828,0.005336341,0.0002811423,0.00006107955,0.0001920239,0.0002545753,0.001180045,0.9781882,0.0002402031,0.000135181,0.01123551],"study_design_scores_gemma":[0.000768323,0.01848858,0.1483147,0.0001709112,0.0005160146,0.0006328191,0.0005305387,0.005755031,0.8094723,0.0007502572,0.01447645,0.0001239662],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9756374,0.001002838,0.01943394,0.00007353863,0.00006187084,0.0006615618,0.0003479318,0.000209129,0.002571848],"genre_scores_gemma":[0.9701151,0.0002525528,0.02600946,0.0001021046,0.00002625922,0.001036,0.0006058421,0.0001984742,0.001654286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002050453,"threshold_uncertainty_score":0.006859481,"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."}}