{"id":"W4409371019","doi":"10.1038/s42003-025-07963-7","title":"The FinnBrain multimodal neonatal template and atlas collection","year":2025,"lang":"en","type":"article","venue":"Communications Biology","topic":"Speech and dialogue systems","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mental Health Research Canada; Hospital for Sick Children; Montreal Neurological Institute and Hospital","funders":"Turun Yliopistollinen Keskussairaala; Turun Yliopisto; Hospital for Sick Children; Aalto-Yliopisto; Sickkids Research Institute; McGill University","keywords":"Atlas (anatomy); Computer science; Medicine; Anatomy","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":[0.0002870527,0.0000550216,0.00007230286,0.00006626279,0.0007473659,0.00007174296,0.001216276,0.00006308152,9.291518e-7],"category_scores_gemma":[0.0001184222,0.00003995565,0.00002104006,0.000327335,0.0002339789,0.00006062575,0.0007365055,0.0001060913,0.00002424736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002137179,"about_ca_system_score_gemma":0.00007328573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002268783,"about_ca_topic_score_gemma":0.0008384417,"domain_scores_codex":[0.9993312,0.0002461142,0.0001418525,0.0001355051,0.00002214123,0.0001231267],"domain_scores_gemma":[0.9978874,0.0007750975,0.0000431943,0.001220303,0.0000510215,0.00002296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001548273,0.00003268934,0.008277496,0.000005254446,0.00004652207,4.377387e-7,0.0005199061,0.000003177744,0.001337226,0.7868595,0.01117156,0.1917307],"study_design_scores_gemma":[0.000604465,0.00007636961,0.01519245,0.0000146118,0.000005650312,0.00002682847,0.0001377618,0.06015471,0.00042463,0.05366635,0.8695537,0.0001425029],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0396593,0.03438965,0.7479534,0.09425658,0.003228931,0.001485072,0.00003938265,0.0006989137,0.07828876],"genre_scores_gemma":[0.9856787,0.0005237418,0.01254259,0.0002270374,0.00001461629,0.00007055297,0.00002031169,0.000002027822,0.0009204174],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9460194,"threshold_uncertainty_score":0.574821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01710502629687742,"score_gpt":0.2935428262743479,"score_spread":0.2764377999774704,"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."}}