{"id":"W2952895812","doi":"10.5539/jas.v11n9p179","title":"Principal Component Analysis for Identification of Superior Castor Bean Hybrids","year":2019,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Agricultural pest management studies","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Raceme; Principal component analysis; Hybrid; Randomized block design; Crop; Univariate; Plant breeding; Mathematics; Biotechnology; Agronomy; Horticulture; Biology; Statistics; Multivariate statistics; Inflorescence","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":[0.001618328,0.0008993762,0.0008202826,0.002893136,0.0004720294,0.0009811677,0.0003209641,0.000272186,0.002976803],"category_scores_gemma":[0.002524088,0.0001801741,0.001139288,0.002453229,0.0002698911,0.000304334,0.0005465397,0.0005436981,0.000772825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000348678,"about_ca_system_score_gemma":0.0008419657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00374264,"about_ca_topic_score_gemma":0.003543108,"domain_scores_codex":[0.9990115,0.0002875286,0.00009121554,0.0002694197,0.0002227639,0.0001174526],"domain_scores_gemma":[0.9993334,0.0002451478,0.00008999812,0.00006373125,0.0002107944,0.00005697413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001910168,0.0009112402,0.08553361,0.000693906,0.000781137,0.0004482493,0.0009422756,0.005689655,0.2902343,0.001855015,0.00244923,0.6085513],"study_design_scores_gemma":[0.0001645891,0.001950906,0.8643182,0.00009740196,0.0006356368,0.0006073551,0.001063173,0.08494906,0.03002261,0.002431051,0.01354437,0.0002156757],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8214895,0.001232417,0.1693635,0.0001715995,0.0000846596,0.0006233633,0.002621352,0.001617478,0.002796255],"genre_scores_gemma":[0.8244228,0.0003876831,0.1691487,0.00003240272,0.00002297789,0.0006109404,0.003685319,0.0002084764,0.001480618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00374264,"threshold_uncertainty_score":0.009958386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01862558130517848,"score_gpt":0.2377536759975707,"score_spread":0.2191280946923922,"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."}}