{"id":"W4310433711","doi":"10.1152/ajpendo.00165.2022","title":"High-resolution analysis of the cytosolic Ca <sup>2+</sup> events in β cell collectives in situ","year":2022,"lang":"en","type":"article","venue":"American Journal of Physiology-Endocrinology and Metabolism","topic":"Pancreatic function and diabetes","field":"Medicine","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Breakthrough T1D Canada; Division of Diabetes, Endocrinology, and Metabolic Diseases; National Institute of Diabetes and Digestive and Kidney Diseases; Javna Agencija za Raziskovalno Dejavnost RS; Austrian Science Fund; U.S. Department of Veterans Affairs","keywords":"Ryanodine receptor; In situ; Intracellular; Pipeline (software); Stimulation; Cytosol; Biophysics; Event (particle physics); Cell; Chemistry; Calcium; Segmentation; Cell biology; Biology; Neuroscience; Biochemistry; Computer science; Artificial intelligence; Physics; Enzyme","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002583084,0.0002594703,0.0003041122,0.0005261274,0.0004348267,0.0004146883,0.0002770485,0.0004544203,0.001885295],"category_scores_gemma":[0.0002519315,0.0001724327,0.0001907199,0.0003364852,0.0003374323,0.0003613275,0.0004197445,0.0006712666,0.0005082067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002282278,"about_ca_system_score_gemma":0.0002276987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005413017,"about_ca_topic_score_gemma":0.001216025,"domain_scores_codex":[0.9998915,0.000005562386,0.000006773011,0.00004432292,0.00003042031,0.00002139522],"domain_scores_gemma":[0.9998391,0.00003279601,0.00003599578,0.00002595947,0.0000280014,0.00003820044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00002572565,0.000004875327,0.0001731675,0.00001928143,0.000002846515,0.00002335591,0.00002154859,0.00005517307,0.9977661,0.00004621212,0.00005316568,0.001808515],"study_design_scores_gemma":[0.0000355532,0.000169436,0.03975202,0.00002204742,0.00004107968,0.0007215958,0.0001629146,0.008175205,0.9469866,0.0005225182,0.003383612,0.00002740479],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8490698,0.001592809,0.1437791,0.0003594935,0.00009928485,0.00009238705,0.00100192,0.0009430121,0.003062175],"genre_scores_gemma":[0.8737246,0.001067151,0.1209275,0.0001606242,0.00007243043,0.0002823081,0.0006978392,0.0002360893,0.002831504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001885295,"threshold_uncertainty_score":0.006306946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007467013886705347,"score_gpt":0.2376866406258427,"score_spread":0.2302196267391374,"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."}}