{"id":"W2362925169","doi":"","title":"Selection and Application of Check Variety in Maize Compare Test","year":2010,"lang":"en","type":"article","venue":"Seed","topic":"Crop Yield and Soil Fertility","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Variety (cybernetics); Test (biology); Computer science; Statistics; Mathematics; Machine learning; Biology; Botany","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":[0.0002738289,0.0003068709,0.0003361733,0.0006798378,0.0004357905,0.0002728673,0.0003819793,0.0003648345,0.002536831],"category_scores_gemma":[0.0004134363,0.0001368315,0.0003339852,0.0003370101,0.0002541472,0.0001515265,0.0002566272,0.0005093907,0.0002291418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002624709,"about_ca_system_score_gemma":0.0002564863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008296019,"about_ca_topic_score_gemma":0.002307445,"domain_scores_codex":[0.9996904,0.00004634109,0.00001782496,0.0001444678,0.00005374938,0.00004713199],"domain_scores_gemma":[0.999653,0.0001104697,0.00005227444,0.00003369862,0.00003582635,0.0001146574],"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":[0.001141181,0.0003870278,0.004412331,0.00003046098,0.00002230968,0.0001406558,0.00008626321,0.00006499979,0.9896543,0.0001510282,0.00008361698,0.003825867],"study_design_scores_gemma":[0.000293115,0.009486722,0.1523093,0.00001384141,0.0003196832,0.0009294878,0.0004210002,0.00143076,0.8297834,0.0002367972,0.004720677,0.00005520836],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969884,0.00008691475,0.00181613,0.00003387633,0.00002835274,0.00004585907,0.0001981498,0.00004951507,0.0007527998],"genre_scores_gemma":[0.9936452,0.00007140826,0.003226221,0.00006976134,0.000009766008,0.00007124119,0.0005516403,0.00004274624,0.002312077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002536831,"threshold_uncertainty_score":0.008486569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007547019781372477,"score_gpt":0.2069356039506997,"score_spread":0.1993885841693272,"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."}}