{"id":"W2955037803","doi":"10.1101/687749","title":"A pipeline for multidimensional confocal analysis of mitochondrial morphology, function and dynamics in pancreatic β-cells","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Mitochondrial Function and Pathology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Children's Hospital; University of British Columbia","funders":"Canadian Institutes of Health Research; Diabetes Canada; BC Children's Hospital","keywords":"Organelle; Pipeline (software); Computational biology; Confocal; Mitochondrion; Mitophagy; Function (biology); Computer science; Cell type; Biology; Confocal microscopy; Cell biology; Cell; Bioinformatics; Physics; Biochemistry","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":[0.001679899,0.001415214,0.0009632477,0.001710329,0.0008406546,0.001863734,0.001962977,0.001044596,0.01566346],"category_scores_gemma":[0.00198155,0.00116854,0.001517126,0.000964833,0.000456703,0.001218873,0.002606221,0.001755557,0.0104751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008883279,"about_ca_system_score_gemma":0.001771397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003115682,"about_ca_topic_score_gemma":0.004759708,"domain_scores_codex":[0.9993554,0.00005575867,0.00005542736,0.0001824035,0.0002574063,0.00009356601],"domain_scores_gemma":[0.9991964,0.0001645198,0.00006453239,0.0002412061,0.0002445116,0.00008883391],"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":[0.001044429,0.0002048991,0.00522207,0.001789713,0.0005392132,0.0009695965,0.001021979,0.01665441,0.5264018,0.0143705,0.1434908,0.2882905],"study_design_scores_gemma":[0.0002760892,0.0001719486,0.01313166,0.0002120421,0.00015183,0.001431479,0.000313337,0.3328758,0.4119675,0.02621047,0.2128356,0.0004222494],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006897206,0.0002044656,0.8521704,0.0002180347,0.00008988085,0.0001686864,0.008881698,0.1297343,0.001635262],"genre_scores_gemma":[0.06267876,0.0005917981,0.8797789,0.0003048446,0.00005261004,0.001155466,0.02780281,0.0219964,0.005638515],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01566346,"threshold_uncertainty_score":0.05239946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009335059428794956,"score_gpt":0.2238491607165231,"score_spread":0.2145141012877281,"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."}}