{"id":"W2137570668","doi":"10.1016/s0303-7207(00)00342-7","title":"Comparative sorting of neuroendocrine secretory proteins: a search for common ground in a mosaic of sorting models and mechanisms","year":2001,"lang":"en","type":"review","venue":"Molecular and Cellular Endocrinology","topic":"Cellular transport and secretion","field":"Biochemistry, Genetics and Molecular Biology","cited_by":52,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"National Institute of Dental and Craniofacial Research; National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Sorting; Biology; Cell biology; Secretory protein; Cell sorting; Secretion; Golgi apparatus; Computer science; Cell; Genetics; Biochemistry; Algorithm; Endoplasmic reticulum","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":[0.002577034,0.001056391,0.003501863,0.002222139,0.0005735002,0.002525278,0.002535898,0.00187825,0.001039848],"category_scores_gemma":[0.001686376,0.0004202057,0.0004628193,0.003887317,0.002974907,0.006049216,0.001152177,0.002757659,0.000891983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001798384,"about_ca_system_score_gemma":0.001635846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001484321,"about_ca_topic_score_gemma":0.00148513,"domain_scores_codex":[0.9995582,0.000064109,0.00006048529,0.0001246553,0.0001494155,0.00004316715],"domain_scores_gemma":[0.9988698,0.0005886874,0.0001118094,0.00007144457,0.0002739915,0.00008414687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005214378,0.00007180955,0.0005990131,0.01071456,0.0001122692,0.0006098726,0.000367919,0.001474132,0.0260444,0.05469802,0.01071768,0.894069],"study_design_scores_gemma":[0.00009892581,0.0003366451,0.002980319,0.002886592,0.0002483852,0.004048963,0.0008150712,0.0009465343,0.01031364,0.05357276,0.9236286,0.0001235805],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001957218,0.9909571,0.004013194,0.001093141,0.000319085,0.000007635407,0.00003551968,0.0000521132,0.001564835],"genre_scores_gemma":[0.005065417,0.9900702,0.003325662,0.0005769535,0.0002077035,0.00001100756,0.00008582138,0.000007231782,0.0006500522],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003501863,"threshold_uncertainty_score":0.01362884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04817519099851817,"score_gpt":0.3066897375111808,"score_spread":0.2585145465126626,"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."}}