{"id":"W2927618314","doi":"10.1007/s00418-019-01780-w","title":"Peroxisomes: new insights into protein sorting, dynamics, quality control, signalling and roles in health and disease","year":2019,"lang":"en","type":"article","venue":"Histochemistry and Cell Biology","topic":"Peroxisome Proliferator-Activated Receptors","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"SickKids Foundation; University of Toronto; Hospital for Sick Children; Dalhousie University","funders":"","keywords":"Peroxisome; Marie curie; European union; Library science; Political science; Medicine; Internal medicine; Business; Computer science; International trade; Receptor","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001892355,0.000245453,0.0003371115,0.00004123505,0.00009337463,0.00001917975,0.0001013298,0.0002727052,0.0000171253],"category_scores_gemma":[0.0001253811,0.0002335694,0.00003735555,0.00004687208,0.0001998526,0.000008370091,0.0001055234,0.0002047134,0.000001707476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005515207,"about_ca_system_score_gemma":0.0002755186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001400316,"about_ca_topic_score_gemma":0.00005318492,"domain_scores_codex":[0.9984698,0.0001345797,0.0003769059,0.0006657614,0.00005649031,0.0002964303],"domain_scores_gemma":[0.9990759,0.00002492865,0.0001991954,0.0002122807,0.00002858536,0.0004590335],"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":[0.0003197354,0.00004847713,0.0336162,0.0003293478,0.00001749228,0.00000121092,0.0001696545,0.000006813567,0.9639874,0.0001547204,0.00003219151,0.001316737],"study_design_scores_gemma":[0.006133672,0.001049339,0.001232829,0.0002553471,0.00002292295,0.00001191732,0.001128076,0.001109206,0.9710772,0.003469804,0.0132794,0.001230254],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9772847,0.02143386,0.0003038986,0.0003518729,0.0000444194,0.0003445284,0.00001140456,0.00001472173,0.0002106359],"genre_scores_gemma":[0.9975961,0.0008915267,0.0002045772,0.0003599547,0.00008372566,0.00002853335,0.0001747404,0.00001820132,0.0006426338],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03238337,"threshold_uncertainty_score":0.9524685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005826644592911797,"score_gpt":0.2392451418750229,"score_spread":0.2334184972821111,"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."}}