{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002426575,0.0003726119,0.0003210494,0.0004532529,0.0003491814,0.000383385,0.0007225902,0.0001998697,0.003007936],"category_scores_gemma":[0.0001816142,0.0003474438,0.0005397978,0.0003807629,0.0002647192,0.0002315557,0.0006449764,0.001082037,0.00126599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003908096,"about_ca_system_score_gemma":0.0003222936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002635273,"about_ca_topic_score_gemma":0.004822144,"domain_scores_codex":[0.9998684,0.00001256581,0.00002054842,0.0000352978,0.00003283146,0.00003039003],"domain_scores_gemma":[0.9997299,0.00006064939,0.00005940587,0.00004669722,0.00003528874,0.00006804969],"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":[0.00009723051,0.00002440651,0.0005622294,0.00002691112,0.000005567035,0.0001111655,0.00006209573,0.0002002793,0.992485,0.0003684017,0.00005993986,0.005996834],"study_design_scores_gemma":[0.00009024385,0.000607785,0.06993397,0.00003623172,0.0001506452,0.001252254,0.0003418956,0.00237637,0.9048033,0.0003789027,0.01995309,0.00007522716],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9609788,0.0002861288,0.0285839,0.0001771016,0.00006025522,0.0002095736,0.001803208,0.0006524597,0.007248533],"genre_scores_gemma":[0.9464775,0.0005666215,0.0299289,0.0001483188,0.00001962043,0.0002154609,0.006624977,0.0004342042,0.0155845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003007936,"threshold_uncertainty_score":0.01006258,"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."}}