{"id":"W1603442075","doi":"","title":"栽培稻(Oryza sativa L.)亚种间F1花粉不育基因S-a的精细定位及克隆","year":2003,"lang":"ja","type":"article","venue":"分子植物育种","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Oryza sativa; Biology; Genetics","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":[0.000288708,0.0003174876,0.0001818976,0.0003172979,0.000440338,0.0007055108,0.000233059,0.0003000571,0.004847201],"category_scores_gemma":[0.0001841105,0.0001185856,0.0003266422,0.0003135261,0.0004014956,0.001068341,0.0002716618,0.0007249114,0.001445993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001229329,"about_ca_system_score_gemma":0.0005434363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007345945,"about_ca_topic_score_gemma":0.00774866,"domain_scores_codex":[0.9999205,0.00001017211,0.00000630062,0.00003146509,0.00001774144,0.00001384837],"domain_scores_gemma":[0.9999298,0.0000129947,0.00001939347,0.000008838071,0.00001781254,0.00001118843],"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":[0.001290961,0.000111436,0.007216193,0.000380646,0.00009628699,0.000459763,0.001344034,0.0009684216,0.7969314,0.02242271,0.008438455,0.1603396],"study_design_scores_gemma":[0.0003748654,0.001177949,0.1736602,0.0001519919,0.0004785246,0.001321406,0.004197835,0.005525997,0.4145077,0.0253014,0.3731208,0.0001813488],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8789267,0.005731876,0.02098049,0.003137264,0.0002896186,0.0001222874,0.002599234,0.001052318,0.08716033],"genre_scores_gemma":[0.9220664,0.002468308,0.01536257,0.0005473964,0.00004971139,0.00007615535,0.001962187,0.000117456,0.05734986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007345945,"threshold_uncertainty_score":0.0162155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01845912007724241,"score_gpt":0.2847141331510981,"score_spread":0.2662550130738556,"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."}}