{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000439912,0.00003278496,0.00004735844,0.000004437532,0.00004021623,0.000005596498,0.00005119352,0.00002188976,0.00008458018],"category_scores_gemma":[0.000009315147,0.00001181736,0.00001432401,0.0001004263,0.00002228629,0.00003443845,0.00002188104,0.00001899694,0.000004686756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001783166,"about_ca_system_score_gemma":0.000001113177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001663035,"about_ca_topic_score_gemma":0.00004307762,"domain_scores_codex":[0.9997448,0.000004848592,0.00008362807,0.00007184663,0.0000406919,0.00005413743],"domain_scores_gemma":[0.9998654,0.00001963333,0.00003845136,0.00001801672,0.00003359963,0.00002495161],"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":[0.000005951246,0.00004118666,0.03348617,0.000004590415,0.000004351838,6.085252e-8,0.0002056728,2.686256e-8,0.9142464,0.001699833,0.00006451936,0.05024121],"study_design_scores_gemma":[0.0000774564,0.00008002087,0.9680222,0.000004794067,0.000003681025,5.063986e-7,0.00067674,0.00001604714,0.02634065,0.0006042467,0.00412405,0.0000495719],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932682,0.00003500801,0.00004458411,0.0002896933,0.00002181856,0.0001336624,0.000005056963,0.00002960225,0.006172373],"genre_scores_gemma":[0.9992151,0.00001460805,0.0002137676,0.0001237396,0.00005518337,0.0000126439,0.000005638137,1.870182e-7,0.0003590941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9345361,"threshold_uncertainty_score":0.09260936,"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."}}