{"id":"W2387928040","doi":"","title":"Breeding and High Yield Cultural Technology of Nice No.1","year":2010,"lang":"en","type":"article","venue":"Seed","topic":"Flowering Plant Growth and Cultivation","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Nice; Yield (engineering); Agronomy; Biology; Computer science; Materials science","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":[0.0000360503,0.00004490481,0.00006391089,0.000006685678,0.00005085464,0.00001027713,0.00007109423,0.00008574573,0.00004660124],"category_scores_gemma":[0.0001403766,0.00001579585,0.00001284414,0.0001198692,0.00004580505,0.00005589657,0.00002623103,0.00009034451,0.000009848961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001186419,"about_ca_system_score_gemma":0.000001048037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002046307,"about_ca_topic_score_gemma":0.0002153543,"domain_scores_codex":[0.9996998,0.000002535721,0.00006941267,0.00009055453,0.00004911652,0.0000885958],"domain_scores_gemma":[0.9998254,0.00005392766,0.00003237024,0.00001811977,0.00004667725,0.00002352521],"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":[0.000006872736,0.000006511891,0.05298392,0.000002387111,0.000001804953,4.021808e-7,0.00001296025,5.838523e-8,0.9416775,0.0004771681,0.00006334469,0.004767103],"study_design_scores_gemma":[0.0000900208,0.000170371,0.9173809,0.00001715279,0.000004491636,0.00001591553,0.0002724766,0.00002865475,0.07860629,0.0003471219,0.002967283,0.00009937885],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983771,0.00001291522,5.876072e-7,0.0006457623,0.0001624546,0.00003876128,0.000007375068,0.00004131069,0.000713707],"genre_scores_gemma":[0.9995278,0.000005771053,0.0001618371,0.00003493604,0.0001026277,0.000001694744,0.00001155304,2.113332e-7,0.0001536365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8643969,"threshold_uncertainty_score":0.06613496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009572847548261437,"score_gpt":0.1858967646334923,"score_spread":0.1763239170852309,"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."}}