{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009110625,0.0006002048,0.0006530446,0.001992686,0.0004686127,0.001707367,0.0005980235,0.001131589,0.00217842],"category_scores_gemma":[0.0003835626,0.0003733334,0.0003867554,0.001025134,0.0017455,0.003438452,0.0009794164,0.002678012,0.001050854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008288543,"about_ca_system_score_gemma":0.0005526864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007396441,"about_ca_topic_score_gemma":0.001373708,"domain_scores_codex":[0.9997347,0.00005626666,0.00001554437,0.00005064785,0.0001039659,0.00003901836],"domain_scores_gemma":[0.9996183,0.00012029,0.00005429954,0.00005593057,0.00007301954,0.00007807242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008994451,0.00005994685,0.001388787,0.001100687,0.00006838438,0.0007565244,0.0003980424,0.0005969182,0.8198251,0.05270278,0.004067244,0.1181361],"study_design_scores_gemma":[0.0001137857,0.000437228,0.02083163,0.0005057912,0.000176573,0.01031595,0.001507913,0.006726068,0.4292472,0.116659,0.4132651,0.000213818],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.1512801,0.5903174,0.2137377,0.0204007,0.00176586,0.0000718087,0.002199817,0.001623696,0.01860305],"genre_scores_gemma":[0.4721245,0.3867041,0.09934773,0.003490206,0.001972609,0.0001170279,0.001690515,0.0003440681,0.03420934],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00217842,"threshold_uncertainty_score":0.007287562,"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."}}