{"id":"W4413433442","doi":"10.1117/1.nph.12.s1.s14616","title":"Bridging the gap: umIT makes complex imaging data accessible to scientists of all backgrounds","year":2025,"lang":"en","type":"article","venue":"Neurophotonics","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Association for Canadian Studies; Université de Montréal; École de Technologie Supérieure","funders":"Fonds de Recherche du Québec - Santé; National Health and Medical Research Council; Natural Sciences and Engineering Research Council of Canada; Mitacs; Réseau en Bio-Imagerie du Quebec","keywords":"Bridging (networking); Computer science; Data science; Computer security","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":[0.00802254,0.001881229,0.001388536,0.002698548,0.0008465939,0.006323373,0.003826488,0.002218384,0.02859541],"category_scores_gemma":[0.03834045,0.0008799294,0.001630888,0.001772543,0.002510667,0.007565668,0.0108971,0.003294606,0.02144241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008713736,"about_ca_system_score_gemma":0.003859055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008542704,"about_ca_topic_score_gemma":0.0009179998,"domain_scores_codex":[0.996804,0.0009604795,0.0003069382,0.0006555378,0.0009685635,0.0003045008],"domain_scores_gemma":[0.9810308,0.007031221,0.001444917,0.005226553,0.002970438,0.002296075],"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":[0.001383434,0.0001676589,0.00626183,0.003790213,0.0003941233,0.001324105,0.00272928,0.01375952,0.04474037,0.1168373,0.2681287,0.5404835],"study_design_scores_gemma":[0.0002773169,0.0002657789,0.006669944,0.002059323,0.0001972079,0.002395265,0.0005928144,0.09837242,0.05667225,0.2148587,0.6172748,0.0003642371],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.00499805,0.001727496,0.8680645,0.005488954,0.0009076204,0.0001533573,0.00429939,0.1050035,0.009357217],"genre_scores_gemma":[0.0877757,0.002817873,0.8513203,0.003895903,0.0009649657,0.001366076,0.009742378,0.03654709,0.005569729],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.02859541,"threshold_uncertainty_score":0.09566122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1653051365235975,"score_gpt":0.3705598584148992,"score_spread":0.2052547218913017,"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."}}