{"id":"W2800954599","doi":"10.1097/tp.0000000000002214","title":"Gearing Up for Stem Cell-derived Beta Cells—Are We Ready?","year":2018,"lang":"en","type":"letter","venue":"Transplantation","topic":"Pancreatic function and diabetes","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Stem cell; Key (lock); BETA (programming language); Political science; Cell biology; Medicine; Biology; Computer science; Computer security","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":[0.007707961,0.001311344,0.001837851,0.0008505576,0.004783753,0.005314547,0.002871937,0.05868804,0.01024341],"category_scores_gemma":[0.03798184,0.000815244,0.00175741,0.0008399072,0.004745416,0.008189002,0.002735621,0.06531235,0.009220384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006235542,"about_ca_system_score_gemma":0.0069479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005632676,"about_ca_topic_score_gemma":0.008817808,"domain_scores_codex":[0.9940064,0.001904532,0.000674658,0.0007520805,0.00190333,0.0007588633],"domain_scores_gemma":[0.9841276,0.009316994,0.001036437,0.0002855213,0.003144505,0.002089032],"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":[0.00002052388,0.000009366768,0.00005677876,0.00004331302,0.00000448053,0.0002570938,0.00005180673,0.00001267559,0.00006662756,0.001064318,0.9955771,0.002835895],"study_design_scores_gemma":[0.00008696162,0.00004651192,0.0003137377,0.0002870488,0.00002038708,0.0007384832,0.0003929981,0.0001183622,0.0001664205,0.006001071,0.9917834,0.00004448928],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00005504208,0.002345253,0.00004488169,0.9641449,0.0327833,0.000004905935,0.00002783997,0.00001175718,0.0005821125],"genre_scores_gemma":[0.0008010002,0.001693517,0.0001182726,0.9394739,0.05529338,0.00002065959,0.0000207648,0.0000155318,0.002563031],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.05868804,"threshold_uncertainty_score":0.04524225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04680944776634198,"score_gpt":0.2643747468748828,"score_spread":0.2175652991085408,"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."}}