{"id":"W2360523318","doi":"","title":"Breeding and Utilization of Grain Sorghum Excellent Restorer Line Ji-R105","year":2009,"lang":"en","type":"article","venue":"Seed","topic":"Agriculture, Soil, Plant Science","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Sorghum; Line (geometry); Agronomy; Biology; Mathematics","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":[0.0001921037,0.00008794238,0.0001142606,0.00001005462,0.0001118995,0.00002424652,0.0001391656,0.00006552057,0.000006669663],"category_scores_gemma":[0.00005244383,0.00002973481,0.00002962669,0.0002986561,0.0000546808,0.0001057255,0.00003145132,0.00005884419,0.000005548311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009780973,"about_ca_system_score_gemma":0.000002983254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007178965,"about_ca_topic_score_gemma":0.0001111789,"domain_scores_codex":[0.9992449,0.00002575107,0.0001515378,0.0002052651,0.0002034864,0.0001690413],"domain_scores_gemma":[0.999716,0.00004801914,0.00008187976,0.00003170944,0.00005263472,0.00006977711],"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":[0.00004240722,0.000146853,0.07197227,0.00001013301,0.000005931926,0.000005316953,0.0006977968,0.00001915696,0.8833963,0.002312655,0.001859143,0.03953204],"study_design_scores_gemma":[0.00008884451,0.0002941484,0.9867584,0.00002354449,0.000005611759,0.000007476482,0.0002917796,0.0003171199,0.009000563,0.001315163,0.001785656,0.0001117142],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969853,0.0001743161,0.00001181889,0.001458718,0.00007638612,0.0001075995,0.00001082544,0.00004007814,0.001134942],"genre_scores_gemma":[0.99896,0.00007126157,0.00009899479,0.0001836649,0.0001304257,0.000001042114,0.00003083972,2.752197e-7,0.0005234844],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9147861,"threshold_uncertainty_score":0.121255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03488512063333241,"score_gpt":0.2324562456985438,"score_spread":0.1975711250652114,"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."}}