{"id":"W4409360443","doi":"10.1139/facets-2024-0038","title":"Multifacets in silico study of Plant Defensin 1.1 protein (PDF1.1) in <i>Brassica rapa</i> (turnip)","year":2025,"lang":"en","type":"article","venue":"FACETS","topic":"Agricultural pest management studies","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Brassica rapa; In silico; Brassica; Biology; Defensin; Botany; Microbiology; Gene; Genetics","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":[0.0002087759,0.0002196252,0.0004113397,0.00005655543,0.00008767564,0.00002866394,0.0002586737,0.00008198786,0.00003856345],"category_scores_gemma":[0.00008289129,0.0000790643,0.00005540401,0.0008791771,0.00004723443,0.0001161939,0.0002867424,0.000187032,0.00001216519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005203313,"about_ca_system_score_gemma":0.000004302182,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001223385,"about_ca_topic_score_gemma":0.0303188,"domain_scores_codex":[0.9984547,0.0001495565,0.0004359806,0.0004153008,0.0002066252,0.0003378739],"domain_scores_gemma":[0.9995968,0.0001299155,0.0001134473,0.00008471664,0.00004035782,0.00003473553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003604915,0.004793831,0.5924504,0.0001179784,0.0001204587,0.00007033613,0.002483912,0.0004812051,0.370882,0.0004005612,0.0100704,0.01776846],"study_design_scores_gemma":[0.0009690855,0.0003420894,0.980207,0.0001462536,0.000011666,5.581309e-7,0.004485597,0.00008166545,0.006733373,0.0001550014,0.006633049,0.0002346989],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931982,0.0001408323,3.526411e-7,0.001751355,0.00006219945,0.001668194,0.00001608289,0.00004984031,0.003113009],"genre_scores_gemma":[0.9986526,0.00001226411,0.00001372115,0.0001368149,0.00002052547,0.0001206742,0.00002018613,7.993225e-7,0.001022411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3877566,"threshold_uncertainty_score":0.9873754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01182324071118094,"score_gpt":0.2143296923907874,"score_spread":0.2025064516796065,"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."}}