{"id":"W1204496660","doi":"","title":"Development of Elongated Uppermost Intemode CMS Lines for Hybrid Rice Breeding in India","year":2007,"lang":"en","type":"article","venue":"分子植物育种","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Biology; Biotechnology; Agronomy","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":[0.0004395023,0.00007397315,0.0001049421,0.00002092942,0.00006453162,0.0000121888,0.0001141909,0.00003655419,0.00003905781],"category_scores_gemma":[0.00007142021,0.00003035883,0.00003106583,0.000221378,0.00001388452,0.00005974367,0.00003195682,0.00004777019,0.000004383363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000293765,"about_ca_system_score_gemma":0.000009009379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006684505,"about_ca_topic_score_gemma":0.0002848955,"domain_scores_codex":[0.999265,0.00000777838,0.0003035235,0.0001374756,0.0001015289,0.0001847446],"domain_scores_gemma":[0.9996723,0.0001097465,0.00008658326,0.00002187655,0.0000694045,0.00004012093],"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":[0.0000190536,0.00006762347,0.006177408,0.00001099167,0.00000466743,5.757979e-7,0.0003186383,6.038196e-7,0.8540573,0.0001356951,0.0001325675,0.139075],"study_design_scores_gemma":[0.0002467543,0.00007491514,0.6297647,0.00003550554,0.00000183783,8.151988e-7,0.001092271,0.00005394685,0.3592496,0.00006487371,0.009300814,0.0001139596],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976646,0.00002225864,0.0002525459,0.0002243288,0.00009866178,0.0002274772,0.000006809963,0.00002004065,0.001483285],"genre_scores_gemma":[0.9975116,0.000003435033,0.001967545,0.0001827955,0.0000781017,0.00001257137,0.00004814748,6.429302e-7,0.0001951855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6235873,"threshold_uncertainty_score":0.1237997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03698051775827244,"score_gpt":0.2612001153716506,"score_spread":0.2242195976133781,"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."}}