{"id":"W1935810336","doi":"10.5376/cmb.2014.04.0001","title":"PlantSecKB: the Plant Secretome and Subcellular Proteome KnowledgeBase","year":2014,"lang":"en","type":"article","venue":"Computational Molecular Biology","topic":"Biochemical and Structural Characterization","field":"Biochemistry, Genetics and Molecular Biology","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Proteome; Computational biology; Subcellular localization; Biology; Bioinformatics; Biochemistry; Gene","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002596784,0.003040493,0.003718663,0.008789289,0.001780282,0.005566136,0.005850915,0.002696135,0.02630361],"category_scores_gemma":[0.005723174,0.002302202,0.002020009,0.01008023,0.0005807566,0.005167054,0.005361594,0.004280917,0.03713097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001475488,"about_ca_system_score_gemma":0.003946593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005295647,"about_ca_topic_score_gemma":0.004225903,"domain_scores_codex":[0.9984951,0.0001595606,0.0002733447,0.0003894855,0.0004790495,0.0002034885],"domain_scores_gemma":[0.9977655,0.0005102664,0.0004124226,0.0005297614,0.0004670355,0.0003149743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002124266,0.0002573807,0.001911328,0.009340742,0.0006449553,0.001170076,0.0006388637,0.004220582,0.04958059,0.01182609,0.7950867,0.1231984],"study_design_scores_gemma":[0.0007771929,0.0001261301,0.006753799,0.001133361,0.0003120608,0.000914667,0.0002037648,0.01275617,0.02248647,0.01765267,0.9366066,0.000277094],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.005424422,0.00346096,0.09934485,0.0007946693,0.000423541,0.0006645025,0.7471315,0.1317903,0.01096528],"genre_scores_gemma":[0.005793613,0.001505731,0.04689078,0.0003246993,0.00004467919,0.0008937172,0.9352921,0.006929443,0.002325217],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.02630361,"threshold_uncertainty_score":0.0879944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006134736165057712,"score_gpt":0.2217877901096197,"score_spread":0.215653053944562,"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."}}