{"id":"W2008397659","doi":"10.1002/pmic.200700969","title":"Flow cytometry‐assisted purification and proteomic analysis of the corticotropes dense‐core secretory granules","year":2008,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Cellular transport and secretion","field":"Biochemistry, Genetics and Molecular Biology","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Clinical Research Institute","funders":"National Institute of Dental and Craniofacial Research; National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Proteomics; Organelle; Proteome; Cell fractionation; Biology; Protein purification; Biochemistry; Chemistry; Chromatography; Cell sorting; Molecular biology; Cell; Enzyme","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":[0.0003324575,0.0003020764,0.0002949175,0.0004930054,0.0002741118,0.0004694611,0.0002366799,0.0003160917,0.0006580277],"category_scores_gemma":[0.0002419748,0.0001106755,0.0001937273,0.0002572999,0.0002451202,0.0002916277,0.0002171176,0.0005297761,0.0004942686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004007028,"about_ca_system_score_gemma":0.0004040319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001576466,"about_ca_topic_score_gemma":0.002011585,"domain_scores_codex":[0.9999069,0.000009257009,0.000008757108,0.00002756546,0.00003142664,0.00001614536],"domain_scores_gemma":[0.9999094,0.00002323838,0.00001342705,0.0000170884,0.0000213218,0.00001545238],"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":[0.00002137597,0.00000510557,0.00009602336,0.00001611544,0.000001586592,0.00001694367,0.000008935764,0.00002244823,0.9987185,0.00008452715,0.00001539885,0.0009930421],"study_design_scores_gemma":[0.00003744799,0.0000965098,0.01419884,0.00001008314,0.00002081212,0.000386651,0.00004772613,0.002812635,0.9759997,0.0003507246,0.006024375,0.00001457631],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9194833,0.002377431,0.07103827,0.0004804264,0.00008290471,0.0002049394,0.003477149,0.0003997436,0.002455904],"genre_scores_gemma":[0.8348598,0.004021286,0.1486144,0.000316617,0.00007034394,0.0003317242,0.006555233,0.0001801435,0.005050408],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001576466,"threshold_uncertainty_score":0.003134608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01885206999427074,"score_gpt":0.2223392433104601,"score_spread":0.2034871733161894,"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."}}