{"id":"W2374420712","doi":"","title":"Breeding and Application of New Hybrid Rice Combination Jinyou T36 with High Yield and Good Quality","year":2008,"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":"Yield (engineering); Agronomy; Quality (philosophy); Biology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001253179,0.00004349388,0.00007916801,0.000006753991,0.0001093891,0.00001092239,0.00004657913,0.00002467584,0.000005430828],"category_scores_gemma":[0.00001992261,0.00001544142,0.000008827342,0.0001288522,0.00005679595,0.00006456716,0.0000237016,0.00004535977,0.000001678722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004819949,"about_ca_system_score_gemma":0.000005197745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003924685,"about_ca_topic_score_gemma":0.0001878531,"domain_scores_codex":[0.9995622,0.00001592602,0.00007845864,0.0001206285,0.0001362965,0.0000865105],"domain_scores_gemma":[0.9997256,0.0001069806,0.0000451727,0.00002222391,0.0000442074,0.00005575979],"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":[0.00003147166,0.00004613749,0.1177664,0.00001512623,0.000005695338,7.480252e-7,0.0001164339,4.094213e-7,0.8680066,0.0008046036,0.00004342533,0.01316299],"study_design_scores_gemma":[0.0001497396,0.0001905102,0.9905317,0.000006129744,0.000002985896,0.00001059263,0.0001376484,0.00003527155,0.008430449,0.0003945147,0.00006406477,0.00004636179],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981356,0.00007616397,0.00003906747,0.001161529,0.000006988188,0.0001104443,0.000004145602,0.00001383873,0.0004522081],"genre_scores_gemma":[0.9995344,0.00007631217,0.00006312428,0.00002107645,0.00003623487,0.000002358442,0.00001143082,3.216932e-7,0.0002547058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8727654,"threshold_uncertainty_score":0.5932976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.040686166380419,"score_gpt":0.2607806782140328,"score_spread":0.2200945118336138,"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."}}