{"id":"W2357836495","doi":"","title":"Breeding and Application of A New Rice Variety Yunjing No.25 With Good Quality,High Yield,Cold Tolerance and Disease Resistance","year":2008,"lang":"en","type":"article","venue":"Seed","topic":"Medical Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Yield (engineering); Plant disease resistance; Resistance (ecology); Disease resistant; Cold tolerance; Biology; Quality (philosophy); Agronomy; Disease; Variety (cybernetics); Biotechnology; Horticulture; Mathematics; Medicine; Statistics; Genetics; Materials science; Philosophy; Gene","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":[0.000222226,0.0003968346,0.0004500047,0.0004318579,0.0002580893,0.0002057607,0.0003052285,0.0002283743,0.001370908],"category_scores_gemma":[0.00008439443,0.0001650963,0.0004714945,0.0003399649,0.0001859633,0.0001384777,0.00028558,0.0002900557,0.0002052504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002329108,"about_ca_system_score_gemma":0.0003665165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001182436,"about_ca_topic_score_gemma":0.002484728,"domain_scores_codex":[0.9999105,0.00001011376,0.00001185004,0.00003205092,0.00001830021,0.00001725022],"domain_scores_gemma":[0.9999337,0.000006807489,0.00000888789,0.000007755365,0.000006464259,0.00003629146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006929231,0.00003005542,0.0005988951,0.00004354797,0.00001161245,0.0002096505,0.00003564166,0.00008540658,0.9953251,0.0001260012,0.00005761521,0.00340726],"study_design_scores_gemma":[0.0005131948,0.003713303,0.134823,0.00003648945,0.0009891707,0.004023321,0.0004032892,0.003688606,0.8061303,0.0005140197,0.04507138,0.00009398515],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899532,0.0006045044,0.007079148,0.00009432631,0.00003235366,0.00007013875,0.000276931,0.0001050367,0.001784283],"genre_scores_gemma":[0.9819263,0.0004040644,0.0111122,0.00008691745,0.00001278493,0.00004908851,0.001284941,0.00004248422,0.005081177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001370908,"threshold_uncertainty_score":0.00458616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03057350789776822,"score_gpt":0.3045369761530211,"score_spread":0.2739634682552529,"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."}}