{"id":"W2090032174","doi":"10.1007/bf03195705","title":"Molecular characterization of novel low-molecular-weight glutenin genes inAegilops longissima","year":2010,"lang":"en","type":"article","venue":"Journal of Applied Genetics","topic":"Turfgrass Adaptation and Management","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada; U.S. Department of Agriculture","keywords":"Biology; Glutenin; Gene; Genetics; Computational biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.00008885542,0.0003716311,0.0001941165,0.0004667731,0.000234161,0.0003023847,0.0002379611,0.0003954285,0.0007556914],"category_scores_gemma":[0.0001516175,0.0001856214,0.0003563207,0.0002273319,0.0002168569,0.0002627143,0.0002312638,0.0006622126,0.0002976186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003696289,"about_ca_system_score_gemma":0.000186735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002547706,"about_ca_topic_score_gemma":0.004867346,"domain_scores_codex":[0.9999623,0.000003137808,0.000003539994,0.00001568801,0.00000730199,0.000007953108],"domain_scores_gemma":[0.9998114,0.00004574331,0.00006518907,0.00001810848,0.00002153345,0.00003802085],"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":[0.00004844907,0.00001545213,0.0008190996,0.0000162253,0.000005063935,0.00005964569,0.00005285545,0.00003404536,0.9982147,0.0000275211,0.000008226815,0.0006986891],"study_design_scores_gemma":[0.00008973575,0.0006690568,0.573326,0.00004589845,0.0002681645,0.001301081,0.0008145267,0.00310526,0.4095082,0.0003498591,0.01047511,0.00004714813],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975168,0.000243647,0.001184675,0.000050641,0.000007239036,0.00001780016,0.0004362684,0.00001918908,0.0005238654],"genre_scores_gemma":[0.9904606,0.0002355144,0.002872623,0.0001049861,0.00000915589,0.00003818714,0.003065394,0.0000245769,0.003189025],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002547706,"threshold_uncertainty_score":0.00506568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004993736650353102,"score_gpt":0.2007159599347283,"score_spread":0.1957222232843752,"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."}}