{"id":"W2920985052","doi":"10.1139/cjps-2018-0332","title":"Registration of HS-182 and HS-183 food-grade soybean [<i>Glycine max</i> (L.) Merr.] germplasm","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Phytase and its Applications","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Canadian Field Crop Research Alliance; Grain Farmers of Ontario","keywords":"Germplasm; Glycine; Crop; Protein quality; Biology; Food science; Null (SQL); Horticulture; Agronomy; Chemistry; Biochemistry; Amino acid","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006397101,0.0006714352,0.0005450701,0.00116834,0.001042798,0.000492759,0.0009350401,0.0006213813,0.009060597],"category_scores_gemma":[0.0004093817,0.0003353521,0.0005770315,0.001097421,0.0004214582,0.0002507907,0.0006562199,0.000837305,0.004484498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001006072,"about_ca_system_score_gemma":0.001040493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01702224,"about_ca_topic_score_gemma":0.05222705,"domain_scores_codex":[0.9995033,0.0000652286,0.00005827437,0.000165641,0.0001203174,0.00008727304],"domain_scores_gemma":[0.9991937,0.0000550659,0.0001036657,0.0001597412,0.0002190879,0.0002688099],"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":[0.002342641,0.0005196479,0.006076905,0.0002065465,0.00007580304,0.001188501,0.0007080612,0.0001855012,0.9679496,0.001088894,0.003375297,0.01628258],"study_design_scores_gemma":[0.001268435,0.007290049,0.3253756,0.0001666834,0.0005043542,0.004269149,0.001665575,0.001499828,0.2783437,0.0004381922,0.3790158,0.0001625856],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8660289,0.0005245609,0.01532029,0.0002926671,0.0002086529,0.006734279,0.07487585,0.0008641729,0.03515062],"genre_scores_gemma":[0.5601545,0.0008925358,0.05260621,0.0005402822,0.0000669822,0.004672345,0.3143162,0.0008856305,0.06586526],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01702224,"threshold_uncertainty_score":0.03384632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0186497379487634,"score_gpt":0.1998002097689816,"score_spread":0.1811504718202182,"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."}}