{"id":"W1511584223","doi":"10.1002/0471143030.cb2109s62","title":"Probing Peroxisome Dynamics and Biogenesis by Fluorescence Imaging","year":2014,"lang":"en","type":"article","venue":"Current Protocols in Cell Biology","topic":"Peroxisome Proliferator-Activated Receptors","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"","keywords":"Peroxisome; Biogenesis; Organelle; Cell biology; Biology; Organelle biogenesis; Live cell imaging; Computational biology; Biochemistry; Cell; Gene","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":[0.0005052945,0.0003718875,0.000280358,0.0005837418,0.0005717158,0.0006735566,0.0008720621,0.000828903,0.001740414],"category_scores_gemma":[0.0002967955,0.000344868,0.0003364179,0.0005382274,0.0005140067,0.0009038274,0.0005669341,0.001699518,0.001089331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001044477,"about_ca_system_score_gemma":0.0003772234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009691391,"about_ca_topic_score_gemma":0.00114121,"domain_scores_codex":[0.9997591,0.00003669492,0.00001022995,0.00007567591,0.00008009659,0.00003809702],"domain_scores_gemma":[0.9998296,0.00006116745,0.00002800482,0.00003027257,0.00003394968,0.00001691369],"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":[0.00002788588,0.00001463174,0.00009067629,0.00005494882,0.000002938136,0.00003017939,0.0000250713,0.0001597149,0.9932987,0.001091472,0.0002773075,0.004926497],"study_design_scores_gemma":[0.000008060129,0.00007509963,0.001276212,0.00002164169,0.000008864756,0.0002553982,0.00003854455,0.004680268,0.9819063,0.0006819911,0.01102951,0.00001809373],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3145348,0.01148469,0.6407212,0.002212531,0.0002843547,0.0003320185,0.001905579,0.002722805,0.02580211],"genre_scores_gemma":[0.4602907,0.02574331,0.4869125,0.0005854607,0.00016265,0.001056899,0.003041876,0.0003857409,0.02182089],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001740414,"threshold_uncertainty_score":0.007578254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01043234734853998,"score_gpt":0.2828497084842611,"score_spread":0.2724173611357211,"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."}}