{"id":"W2111105704","doi":"10.5376/cmb.2014.04.0007","title":"FunSecKB2: a fungal protein subcellular location knowledgebase","year":2014,"lang":"en","type":"article","venue":"Computational Molecular Biology","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computational biology; Biology","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":[0.0003413369,0.0002092295,0.0001658544,0.00009046942,0.0001052872,0.00002587262,0.0002605115,0.0002138888,0.00003306006],"category_scores_gemma":[0.0004492998,0.0002122104,0.00008977421,0.0001567426,0.0001414106,0.000004031608,0.0001389364,0.0001546149,0.0001521324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000178978,"about_ca_system_score_gemma":0.000109042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005649483,"about_ca_topic_score_gemma":0.000003354469,"domain_scores_codex":[0.9986374,0.0002754767,0.0003175046,0.0003641355,0.0001282342,0.0002772684],"domain_scores_gemma":[0.999106,0.00003175421,0.000146983,0.0003336715,0.0002801516,0.0001014555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001508583,0.0001969084,0.004585494,0.0001411308,0.0001487634,0.000007246499,0.00008791754,0.05431144,0.7172076,0.2082155,0.001104636,0.0138425],"study_design_scores_gemma":[0.005903393,0.004355034,0.008934918,0.0001397571,0.0001184053,0.0003682518,0.00006318663,0.4439774,0.1430698,0.2060022,0.1843792,0.002688435],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2978359,0.0002439034,0.6991056,0.0002065225,0.0001112807,0.0002229238,0.000008126481,0.00003463315,0.002231215],"genre_scores_gemma":[0.9699801,0.000001311896,0.02744657,0.000670138,0.0001943658,0.00004567635,0.00137721,0.00002920689,0.0002553914],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6721443,"threshold_uncertainty_score":0.8653691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00442848962742088,"score_gpt":0.2555454032499011,"score_spread":0.2511169136224802,"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."}}