{"id":"W3194855278","doi":"10.7554/elife.70119","title":"The BigBrainWarp toolbox for integration of BigBrain 3D histology with multimodal neuroimaging","year":2021,"lang":"en","type":"article","venue":"eLife","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":96,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; McGill University; Montreal Neurological Institute and Hospital","funders":"Fonds de Recherche du Québec - Santé; Sick Kids Foundation; Canadian Institutes of Health Research; Centre Azrieli de recherche sur l'autisme, Institut et Hôpital Neurologiques de Montréal; Helmholtz Association; Natural Sciences and Engineering Research Council of Canada","keywords":"Toolbox; Neuroimaging; Workflow; Computer science; Data science; Artificial intelligence; Human–computer interaction; Neuroscience; Psychology; Database","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000101536,0.00008350383,0.0001491894,0.00003373228,0.0001206394,0.000009125033,0.00007113763,0.0000250653,0.000005179726],"category_scores_gemma":[0.0003463956,0.00005541212,0.00005054272,0.000157259,0.0001227272,0.00003705148,0.00002154798,0.0001235948,0.000001342031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002222519,"about_ca_system_score_gemma":0.00009672742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008797248,"about_ca_topic_score_gemma":0.00001286596,"domain_scores_codex":[0.9993384,0.00002256654,0.0001836969,0.0002018131,0.0001126085,0.0001409238],"domain_scores_gemma":[0.9990703,0.0002477047,0.00008847311,0.000344804,0.0002096827,0.00003900006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005126983,0.0003619492,0.004826786,0.0001175263,0.0000643345,0.00005214791,0.0005067363,0.00009285855,0.6429564,0.04541181,0.01432969,0.290767],"study_design_scores_gemma":[0.00226473,0.0005511353,0.01384114,0.0001411333,0.0001318108,0.0004036869,0.0003533097,0.02178272,0.3284839,0.001538032,0.6302456,0.0002627384],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1060198,0.0004789123,0.8527471,0.03703027,0.0001319768,0.0009538366,0.00003056347,0.0002553331,0.002352158],"genre_scores_gemma":[0.7706884,0.00008702641,0.2251333,0.002588754,0.0001110018,0.0001931617,0.00005460275,0.00003607092,0.001107693],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6646686,"threshold_uncertainty_score":0.2259641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06421679196745048,"score_gpt":0.3615662247518344,"score_spread":0.297349432784384,"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."}}