{"id":"W2388392247","doi":"","title":"Research Progress on Plant Seed Protein by Molecular Biology Methold","year":2011,"lang":"en","type":"article","venue":"Seed","topic":"Phytase and its Applications","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Biology; Computational biology; Botany","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":[0.0003346777,0.00007882799,0.00009287993,0.00001383601,0.0001500264,0.00001760907,0.0002520646,0.0000851207,0.00008765481],"category_scores_gemma":[0.00001727535,0.00002778406,0.00003388834,0.0003001998,0.0001135552,0.00002920605,0.00005562949,0.0001554715,0.0001588452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001012165,"about_ca_system_score_gemma":0.000005473619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000267237,"about_ca_topic_score_gemma":0.00002832632,"domain_scores_codex":[0.9990854,0.0001504077,0.0001012859,0.0002520084,0.0001276783,0.0002832371],"domain_scores_gemma":[0.9997122,0.00004734701,0.00003052038,0.00007904134,0.00005240063,0.00007852002],"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":[0.00002989132,0.0001410142,0.0008711661,0.00000156989,0.000007692166,0.000002363321,0.00004636579,1.576801e-8,0.9841242,0.01107999,0.0005261287,0.003169568],"study_design_scores_gemma":[0.0001354656,0.0008331652,0.08567443,0.00001850561,0.000004759402,0.000001876654,0.0001809893,0.00001151514,0.8587219,0.01647992,0.03774788,0.0001895581],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909061,0.0001526309,0.000006972999,0.001165502,0.00001605793,0.0004779372,0.0001395975,0.00005548962,0.00707968],"genre_scores_gemma":[0.998842,0.000005187597,0.000233242,0.0001570072,0.00004815385,0.0001991622,0.0001624406,8.617307e-7,0.0003519382],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1254023,"threshold_uncertainty_score":0.2041686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08870831747756715,"score_gpt":0.3271305485074618,"score_spread":0.2384222310298947,"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."}}