{"id":"W2385057070","doi":"","title":"Correlation and Principal Components Analyses of Quality Characteristics of Ningxia Japonica Varieties(Lines)","year":2011,"lang":"en","type":"article","venue":"Seed","topic":"Food Quality and Safety Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Principal component analysis; Japonica; Japonica rice; Correlation; Quality (philosophy); Principal (computer security); Statistics; Biology; Mathematics; Botany; Computer science; Physics; Geometry; Computer security","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":[0.0002775175,0.00006585478,0.0002298213,0.000006496608,0.0000646566,0.000003248475,0.00007163921,0.00005261315,0.00003054715],"category_scores_gemma":[0.0001124589,0.00002686378,0.00004665925,0.00009927389,0.0001300171,0.00003984649,0.00006202488,0.00004679314,0.000001704491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003372471,"about_ca_system_score_gemma":0.000002980771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001148356,"about_ca_topic_score_gemma":0.0001241792,"domain_scores_codex":[0.9992757,0.00009262777,0.0003254598,0.0001061306,0.00011811,0.00008197757],"domain_scores_gemma":[0.9994686,0.0001497594,0.0002245699,0.00003798448,0.00009187849,0.0000272269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003421719,0.0002260811,0.5990127,0.00006329414,0.00009637559,4.656613e-7,0.002092514,0.00000119909,0.3911423,0.004168721,0.000005243068,0.002848849],"study_design_scores_gemma":[0.00008776553,0.0001509898,0.9963387,0.0000123318,0.00002103456,3.227113e-7,0.0003898015,0.00007144674,0.002409277,0.0003911376,0.00006608372,0.00006111035],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989495,0.00006247213,0.0000177755,0.0001192005,0.00005137557,0.00005863118,0.00004663624,0.00001112401,0.0006832831],"genre_scores_gemma":[0.9997148,0.00003530073,0.0001094275,0.00002742312,0.00002184943,0.000001090491,0.00004013252,3.081281e-7,0.00004967507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.397326,"threshold_uncertainty_score":0.1735979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1746597807444903,"score_gpt":0.3153857159527503,"score_spread":0.14072593520826,"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."}}