{"id":"W2592154322","doi":"10.7554/elife.25159","title":"From ions to insulin","year":2017,"lang":"en","type":"letter","venue":"eLife","topic":"Ion channel regulation and function","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Insulin; Computational biology; Biology; Computer science; Endocrinology","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":[0.001132798,0.0005205356,0.000603676,0.0003073238,0.001444903,0.002027025,0.0009606114,0.008065573,0.003918954],"category_scores_gemma":[0.007091115,0.0003150621,0.0005127515,0.0001796359,0.00281088,0.002259353,0.001869725,0.01642365,0.004553476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001853097,"about_ca_system_score_gemma":0.001094849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005538196,"about_ca_topic_score_gemma":0.0008601074,"domain_scores_codex":[0.9992189,0.000188174,0.00006315856,0.0001165955,0.0002879994,0.0001251266],"domain_scores_gemma":[0.9980793,0.00106435,0.0001114679,0.0001405974,0.0002600063,0.0003443506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003157598,0.00005643343,0.0005454435,0.0001989353,0.00002684488,0.003503169,0.0001327763,0.0001477347,0.003457627,0.02571138,0.9156523,0.05025176],"study_design_scores_gemma":[0.0001632222,0.00009151641,0.0003928045,0.0001584444,0.00001986005,0.002772724,0.0002166355,0.0003882382,0.002823428,0.06064532,0.9322998,0.00002809694],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.003342368,0.03078206,0.0009976958,0.8740118,0.08428155,0.00001649911,0.00007070541,0.0001268632,0.006370436],"genre_scores_gemma":[0.05559787,0.03670336,0.0008654854,0.7443458,0.1348214,0.00009579808,0.0001003514,0.0000773986,0.02739258],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.008065573,"threshold_uncertainty_score":0.0134452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02063948181853495,"score_gpt":0.2690797297706443,"score_spread":0.2484402479521093,"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."}}