{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000422284,0.0002647268,0.0002538099,0.001182732,0.0003339913,0.0003347088,0.0001738078,0.0001318212,0.0007090188],"category_scores_gemma":[0.0006438869,0.000156861,0.0004186642,0.001548516,0.0002339399,0.0001601692,0.0002486946,0.0003269223,0.00008934159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004330036,"about_ca_system_score_gemma":0.0002830313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008036844,"about_ca_topic_score_gemma":0.0105928,"domain_scores_codex":[0.9997346,0.00004431664,0.00003092759,0.0000951903,0.00006647489,0.00002837658],"domain_scores_gemma":[0.9992337,0.000212159,0.000184495,0.00005693651,0.000204847,0.000107828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001830111,0.0001925686,0.4390443,0.0001164283,0.0003501138,0.0003065088,0.001185335,0.0007243608,0.5325183,0.0003564905,0.0002576948,0.02311779],"study_design_scores_gemma":[0.000007373814,0.00007817138,0.9946339,0.000001144361,0.000052124,0.00006782496,0.00008706962,0.0005611626,0.004289571,0.00002263212,0.000191489,0.000007688539],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991643,0.00003720424,0.0003947202,0.000004673559,0.00000190092,0.000004218284,0.0001896368,0.000006949484,0.0001964221],"genre_scores_gemma":[0.9980678,0.00002458121,0.000880328,0.00000598074,0.000001669852,0.0000115275,0.0005721508,0.000008529913,0.0004274742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008036844,"threshold_uncertainty_score":0.01598012,"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."}}