{"id":"W2380619239","doi":"","title":"Molecular Identification of High Quality Subunit 1 Dx 5+1 Dy 10 in Wheat Backcrossing Progenies","year":2009,"lang":"en","type":"article","venue":"Seed","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Glutenin; Backcrossing; Molecular marker; Marker-assisted selection; Selection (genetic algorithm); Biology; Protein subunit; Botany; Gene; Genetics; Genetic marker; Artificial intelligence; Computer science","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":[0.0002927013,0.00006446554,0.0001255916,0.00001071613,0.00006113498,0.00002988327,0.0001026942,0.00006797578,0.00004672035],"category_scores_gemma":[0.00002242498,0.00002778916,0.00004171577,0.0001963011,0.00004395781,0.00003313041,0.00001338081,0.00005138988,0.00001096743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006132743,"about_ca_system_score_gemma":0.000005461835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001836053,"about_ca_topic_score_gemma":0.0002565019,"domain_scores_codex":[0.9992914,0.00009394344,0.0002394801,0.000148546,0.00009209308,0.0001344988],"domain_scores_gemma":[0.9997844,0.00002751855,0.00006438256,0.00004788101,0.00004960792,0.00002619926],"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":[0.00002355187,0.00005495386,0.006443148,0.000003050712,0.000001395074,0.000001615009,0.00007197259,0.00000839976,0.9822651,0.0004141965,0.000004878429,0.01070776],"study_design_scores_gemma":[0.00007528249,0.0001008011,0.7174846,0.00000515297,0.000002630577,0.000001045832,0.00006969142,0.00001191677,0.2795773,0.002529297,0.0000844091,0.0000578329],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984558,0.0001953785,0.000004518341,0.0008242973,0.00004042164,0.00009675619,0.00001189198,0.0000129441,0.0003580296],"genre_scores_gemma":[0.9995758,0.00001190321,0.00005008993,0.00007338318,0.0000344167,0.000002287437,0.00005380551,3.367952e-7,0.0001979893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7110415,"threshold_uncertainty_score":0.1133209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02312323043587055,"score_gpt":0.263291718389146,"score_spread":0.2401684879532754,"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."}}