{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003324651,0.0003187231,0.0003114859,0.0005032521,0.0003731485,0.0002587195,0.0004445221,0.0003348064,0.001762112],"category_scores_gemma":[0.0001523276,0.0001990011,0.0003450911,0.0002262408,0.0002072506,0.000136765,0.0003164423,0.000594765,0.0004927034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002512611,"about_ca_system_score_gemma":0.0002658447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001116188,"about_ca_topic_score_gemma":0.003215277,"domain_scores_codex":[0.9997641,0.00004802701,0.00003739816,0.0000727314,0.00004221116,0.00003549198],"domain_scores_gemma":[0.9997734,0.00004400951,0.00003923006,0.00004181127,0.00002073283,0.00008081399],"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":[0.00008980519,0.0000813193,0.0005027126,0.00002185959,0.000007486668,0.00012666,0.00005661399,0.00003569252,0.9972863,0.0001323218,0.00004385141,0.001615318],"study_design_scores_gemma":[0.0003581757,0.003673542,0.07234938,0.00003621343,0.0003870118,0.002881106,0.0009267231,0.003532914,0.8870918,0.0001874825,0.02851366,0.00006196561],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957372,0.0001473505,0.002521911,0.00004733918,0.00002242523,0.00007000702,0.0003458621,0.00008903455,0.001018752],"genre_scores_gemma":[0.9851357,0.0001864591,0.006179575,0.0001064402,0.000009580253,0.00007763258,0.002262184,0.0001101383,0.005932242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001762112,"threshold_uncertainty_score":0.005894899,"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."}}