{"id":"W2359673780","doi":"","title":"Breeding and Corresponding Techniques of National Judged Variety Jingke Silage 516","year":2009,"lang":"en","type":"article","venue":"Seed","topic":"Food Quality and Safety Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Silage; Variety (cybernetics); Agronomy; Biology; Mathematics; Statistics","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":[0.0003497751,0.00006161918,0.0001133709,0.000009730091,0.0001561464,0.00001563826,0.00006143568,0.00004750622,0.00001246451],"category_scores_gemma":[0.0001099648,0.0000249555,0.00003484466,0.0001556573,0.00004982529,0.00007201739,0.0000301382,0.00005431402,0.000001241882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009285792,"about_ca_system_score_gemma":0.000003056542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003407651,"about_ca_topic_score_gemma":0.00003143,"domain_scores_codex":[0.9994733,0.00002860412,0.0001311077,0.0001151194,0.0001500012,0.0001019088],"domain_scores_gemma":[0.9996892,0.0001582466,0.00005328928,0.00001244806,0.00006223965,0.00002459287],"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":[0.00005554705,0.00003872048,0.0058088,0.000005642371,0.000009576338,6.757275e-7,0.0003841991,3.254998e-7,0.9646239,0.005614917,0.0002207204,0.02323697],"study_design_scores_gemma":[0.0000892935,0.0004717974,0.9615403,0.0000329936,0.00000542946,0.000003786763,0.0007840621,0.00004046498,0.02837786,0.005477782,0.00304469,0.0001314778],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901111,0.0001112262,0.00001201285,0.003330787,0.0000340791,0.00007686648,0.0000186285,0.0000641583,0.006241202],"genre_scores_gemma":[0.9991039,0.0000288578,0.0002450094,0.0003762113,0.00007812648,0.000001310133,0.000007732347,2.185726e-7,0.0001586282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9557316,"threshold_uncertainty_score":0.1200968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03063144223674618,"score_gpt":0.2540042519696983,"score_spread":0.2233728097329521,"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."}}