{"id":"W2357107107","doi":"","title":"Seed Production Technology of Hybrid Nonglutinous Rice Neixiangyou-2550 with Excellent Quality and High Yield and Disease-resistance Characteristics","year":2010,"lang":"en","type":"article","venue":"Seed","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Yield (engineering); Resistance (ecology); Production (economics); Disease resistant; Agronomy; Plant disease resistance; Quality (philosophy); Biology; Materials science; Physics; Composite material; Economics; 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":[0.00008443943,0.0003623553,0.000212486,0.0001912465,0.0002198668,0.0001329798,0.0002062067,0.0001180951,0.0005865638],"category_scores_gemma":[0.00005093173,0.0001804437,0.0002427526,0.0001598494,0.0001120041,0.0001227796,0.0002048152,0.0001932784,0.0002361106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000156102,"about_ca_system_score_gemma":0.0002249607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009998864,"about_ca_topic_score_gemma":0.001472417,"domain_scores_codex":[0.9999641,0.00000299997,0.000004030846,0.00001230816,0.00001045437,0.000006035727],"domain_scores_gemma":[0.9999681,0.000004432803,0.000006904023,0.000004531601,0.000005300192,0.00001081361],"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":[0.00001272577,0.000004198403,0.0001311987,0.00002012787,0.000001362103,0.00004458774,0.00001371111,0.00004651419,0.9989341,0.00006474487,0.00001051841,0.0007162904],"study_design_scores_gemma":[0.00003026587,0.0002220911,0.009210831,0.000004030037,0.00007475937,0.0005616559,0.00004164515,0.001847644,0.9848167,0.00008736114,0.003093175,0.000009835713],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9796335,0.0002864581,0.01726227,0.00004088426,0.00001919997,0.00004170774,0.0001763895,0.0001129512,0.002426832],"genre_scores_gemma":[0.9795001,0.0003460397,0.01411513,0.00002393784,0.000004681724,0.00004047263,0.0006184056,0.00003375271,0.005317478],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009998864,"threshold_uncertainty_score":0.001988113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01485378375926808,"score_gpt":0.2127086072884747,"score_spread":0.1978548235292066,"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."}}