{"id":"W2371441939","doi":"","title":"Breeding and Applications of Maize Inbred lines JTR411","year":2011,"lang":"en","type":"article","venue":"Seed","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Inbred strain; Agronomy; Biology; Zea mays; Biotechnology; Genetics; Gene","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":[0.0004609224,0.0005656168,0.0002759389,0.0009717025,0.0004522135,0.000339909,0.0006577179,0.0003768807,0.002061849],"category_scores_gemma":[0.000271205,0.0003933109,0.0005024128,0.0008047102,0.0002412045,0.0002411691,0.0004531821,0.0008571486,0.0008161775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006418576,"about_ca_system_score_gemma":0.0005480839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002284714,"about_ca_topic_score_gemma":0.005558811,"domain_scores_codex":[0.9997477,0.00003714964,0.00003136085,0.00006659779,0.00007910826,0.00003803076],"domain_scores_gemma":[0.9997532,0.00003972467,0.00006202826,0.00004026114,0.00003648993,0.00006838978],"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":[0.00005166561,0.0000216061,0.0001652694,0.00002365214,0.000004371953,0.00002824898,0.00002573561,0.00004763796,0.9968273,0.0003427831,0.00004241908,0.002419284],"study_design_scores_gemma":[0.0001120401,0.0003601637,0.01557357,0.00001732219,0.0001592047,0.0004747904,0.00009991833,0.001208713,0.9619139,0.000314567,0.0197374,0.00002847732],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9561152,0.00151939,0.03273113,0.0003353322,0.00008038015,0.0003516115,0.002343398,0.0005524688,0.005971026],"genre_scores_gemma":[0.9225914,0.00183254,0.05397286,0.0001541038,0.00002719129,0.0002421251,0.007037411,0.0003849427,0.01375745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002284714,"threshold_uncertainty_score":0.006897569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04398855097534065,"score_gpt":0.2180006078294164,"score_spread":0.1740120568540757,"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."}}