{"id":"W2182536087","doi":"10.4141/cjps2010-021","title":"Identification of early-maturing maize inbred lines based on multiple traits under drought and low N environments for hybrid development and population improvement","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Germplasm; Introgression; Hybrid; Drought tolerance; Biology; Agronomy; Drought stress; Inbred strain; Population; Zea mays; Productivity; Gene; Genetics","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":[0.0003618586,0.00005404003,0.00007226929,0.00005000216,0.0001796349,0.00004063154,0.0001050599,0.0000180246,0.000004299043],"category_scores_gemma":[0.00003782199,0.00002645163,0.00001285291,0.00006130823,0.00005286811,0.00009042066,0.000006337421,0.00003165128,1.511306e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002714936,"about_ca_system_score_gemma":0.00004585747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006782743,"about_ca_topic_score_gemma":0.003097606,"domain_scores_codex":[0.9994084,0.000006234063,0.0002078652,0.0001082809,0.0001329459,0.0001362519],"domain_scores_gemma":[0.9995683,0.00004960655,0.0001681222,0.00001548186,0.00002614596,0.0001723514],"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":[0.00003606175,0.00001870159,0.06835913,0.00001341749,0.000004779481,0.000003508963,0.0003404598,0.0001270915,0.9020866,0.0000446887,0.000008490792,0.02895708],"study_design_scores_gemma":[0.000118191,0.0001445015,0.8968232,0.00004532174,0.000004132962,0.000008843404,0.00007261299,0.001918269,0.1006432,0.00008638523,0.00007692473,0.00005844808],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999548,0.00002294431,0.00009035773,0.00004947467,0.00008162212,0.00009791854,0.0001044926,7.460123e-7,0.000004508943],"genre_scores_gemma":[0.9993998,0.000004771992,0.0005239697,0.00003055419,0.00002220857,0.000001281896,0.000009304537,4.477157e-7,0.000007608895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.828464,"threshold_uncertainty_score":0.1728537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03250296348397538,"score_gpt":0.1801294169423475,"score_spread":0.1476264534583721,"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."}}