{"id":"W1607817260","doi":"10.5772/15571","title":"A Versatile Soybean Recombinant Inbred Line Population Segregating for Low Linolenic Acid and Lipoxygenase Nulls - Molecular Characterization and Utility for Soymilk and Bioproduct Production","year":2011,"lang":"en","type":"book-chapter","venue":"InTech eBooks","topic":"Soybean genetics and cultivation","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Lipoxygenase; Recombinant DNA; Population; Biology; Inbred strain; Line (geometry); Linolenic acid; Food science; Chemistry; Biotechnology; Biochemistry; Medicine; Gene; Enzyme; Mathematics; Linoleic acid; Fatty acid","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000254472,0.0002658512,0.0002684102,0.000035008,0.000194225,0.00007289626,0.0000657124,0.0002783235,0.00001120485],"category_scores_gemma":[0.0001056813,0.0001466457,0.00006644326,0.00002017191,0.00008017969,0.00006537772,0.00006136234,0.0001167125,5.247205e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002078665,"about_ca_system_score_gemma":0.000008917623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003975273,"about_ca_topic_score_gemma":0.00004992923,"domain_scores_codex":[0.9987276,0.00001730955,0.0003455943,0.0006284678,0.0001023272,0.0001786848],"domain_scores_gemma":[0.9992846,0.0000353994,0.0003174134,0.00009591597,0.0001986859,0.00006798592],"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":[0.00008509651,0.00001165874,0.00006486986,0.00008299536,0.00002042271,2.315868e-7,0.0001356238,1.018481e-8,0.6861421,0.0002861281,0.000005139195,0.3131658],"study_design_scores_gemma":[0.0005893419,0.001261304,0.008021039,0.000580969,0.0001589678,0.00001803879,0.0000770164,0.0003730745,0.9474921,0.035163,0.005543776,0.0007213356],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962439,0.0002462875,0.0004588179,0.000269066,0.0002622599,0.002072952,0.0001851424,0.00006642721,0.0001951273],"genre_scores_gemma":[0.9926338,0.00007033304,0.0004320733,0.00004784316,0.0002981019,0.0001035568,0.001034337,0.000009109357,0.00537085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3124444,"threshold_uncertainty_score":0.598004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03277625505295676,"score_gpt":0.221524178531731,"score_spread":0.1887479234787743,"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."}}