{"id":"W2393732147","doi":"","title":"Breeding and Introduction of Quality Rice in Meitan County","year":2010,"lang":"en","type":"article","venue":"Seed","topic":"GABA and Rice Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quality (philosophy); Environmental science; Agricultural engineering; Agronomy; Biology; Engineering; Physics","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":[0.0002847693,0.0001078899,0.0001348079,0.0004952529,0.00115377,0.0004341942,0.0004807354,0.0002112991,0.001459413],"category_scores_gemma":[0.0003597361,0.0001993416,0.000102152,0.0003211015,0.0003180863,0.0001858435,0.0004834079,0.0006194814,0.0001542935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001616795,"about_ca_system_score_gemma":0.0017095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05499432,"about_ca_topic_score_gemma":0.2831772,"domain_scores_codex":[0.9998426,0.00003835609,0.000004872971,0.0000427347,0.00002492429,0.0000464606],"domain_scores_gemma":[0.9995733,0.00005687688,0.00004883606,0.00002607542,0.00008227315,0.0002126888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002034938,0.001973614,0.6503684,0.00005007696,0.00003789995,0.004606342,0.008406083,0.0004967483,0.2912985,0.002027476,0.00149655,0.03720339],"study_design_scores_gemma":[0.00003460843,0.0009456565,0.9799978,0.00000781295,0.00001360695,0.0003796308,0.005563858,0.0006768387,0.007990739,0.0001152915,0.004262649,0.00001133835],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987256,0.00001073756,0.00008605306,0.00004136072,0.000002611066,0.00001036634,0.00002969955,0.000006374429,0.001087212],"genre_scores_gemma":[0.9935281,0.0000293149,0.0009986324,0.0000541105,0.000002058256,0.00001604545,0.0001469809,0.000007103088,0.005217607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05499432,"threshold_uncertainty_score":0.1093484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02726359266636022,"score_gpt":0.2862716621906347,"score_spread":0.2590080695242745,"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."}}