{"id":"W2970946125","doi":"","title":"MOLECULAR BASIS OF STRUCTURAL STUDIES, PHYTOCHEMICAL CHARACTERIZATION, AND NUTRITIONAL EVALUATION OF NEW MODIFIED ALFALFA DEVELOPED THROUGH DIFFERENT GENE TRANSFORMATION AND GENE MODIFICATION TECHNIQUES IN RUMINANT LIVESTOCK SYSTEMS","year":2019,"lang":"en","type":"dissertation","venue":"","topic":"Plant Reproductive Biology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada; China Scholarship Council; Lawrence Berkeley National Laboratory; Ministry of Agriculture - Saskatchewan","keywords":"Transformation (genetics); Biology; Gene; Livestock; Biotechnology; Ruminant; Phytochemical; Agronomy; Genetics; Botany; Pasture; Ecology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002690489,0.0002870368,0.0005133294,0.0001341188,0.00002624599,0.00000927155,0.000101149,0.000420851,0.000001734586],"category_scores_gemma":[0.000107386,0.0002553771,0.00004816977,0.00009680135,0.00006719829,0.00002199199,0.00002822504,0.0000924326,1.086376e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006605602,"about_ca_system_score_gemma":0.0002115341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006897026,"about_ca_topic_score_gemma":0.00002320746,"domain_scores_codex":[0.9981757,0.0001589073,0.0006845969,0.0005439012,0.0002926843,0.0001442095],"domain_scores_gemma":[0.9985539,0.00001572245,0.0004733024,0.0002404097,0.0006835295,0.00003311626],"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":[0.0003320318,0.00004368593,0.0005696464,0.000497654,0.0001421603,1.287471e-7,0.0004645185,0.00003492408,0.9949714,0.0003255416,0.000007433894,0.002610872],"study_design_scores_gemma":[0.0007562478,0.0001562817,0.04621006,0.0001624515,0.0001255479,0.00001303244,0.0003040588,0.0008605355,0.9509535,0.0001974657,0.00001878587,0.0002419939],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893605,0.004826695,0.003768842,0.00003707052,0.0001200901,0.001647593,0.0001983016,0.000007355387,0.00003355346],"genre_scores_gemma":[0.9755864,0.00250409,0.001079478,0.000006655564,0.00006025897,0.0001736201,0.02049168,0.00002046055,0.0000774056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04564041,"threshold_uncertainty_score":0.9999899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04438262839960168,"score_gpt":0.3197248547031363,"score_spread":0.2753422263035347,"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."}}