{"id":"W4412363010","doi":"10.1038/s41597-025-05540-5","title":"A Cross-Species Brain Magnetic Resonance Imaging and Histology Database of Vertebrates","year":2025,"lang":"en","type":"article","venue":"Scientific Data","topic":"MRI in cancer diagnosis","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Japan Society for the Promotion of Science; Ministry of Education, Culture, Sports, Science and Technology; Mochida Memorial Foundation for Medical and Pharmaceutical Research; Japan Agency for Medical Research and Development; Takeda Science Foundation","keywords":"Magnetic resonance imaging; Histology; Functional magnetic resonance imaging; Nuclear magnetic resonance; Biology; Neuroscience; Medicine; Pathology; Physics; Radiology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0007662894,0.00009675964,0.0002193335,0.0002146374,0.0001291017,0.00009806996,0.0005676515,0.00002753846,0.0007374924],"category_scores_gemma":[0.000738496,0.000090987,0.00001771317,0.0005351971,0.001415872,0.0002587296,0.0009424034,0.00009908997,0.00001878651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004101581,"about_ca_system_score_gemma":0.0002483529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001195274,"about_ca_topic_score_gemma":0.0001640078,"domain_scores_codex":[0.9985425,0.00003401604,0.0002572034,0.000733437,0.0002120772,0.0002207605],"domain_scores_gemma":[0.9974293,0.0002241382,0.00005645653,0.002110863,0.0001158418,0.00006343846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003853828,0.00005971365,0.1450572,0.0002235057,0.000005592294,0.0000207788,0.0000912716,1.102743e-7,0.0137441,0.0008524971,0.8155818,0.02432485],"study_design_scores_gemma":[0.0008040918,0.00002289854,0.1212516,0.0003492594,0.00004763748,0.00001705556,0.00008578644,0.001697951,0.004565311,0.000213247,0.8708647,0.00008040982],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.4063659,0.414293,0.001582706,0.09584995,0.01169471,0.002147872,0.0364961,0.0003032771,0.03126651],"genre_scores_gemma":[0.6480851,0.00414808,0.0234377,0.007861955,0.0003547753,0.0001291837,0.01501829,0.00008962975,0.3008753],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4101449,"threshold_uncertainty_score":0.8075024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03809466685632366,"score_gpt":0.3424937153352676,"score_spread":0.3043990484789439,"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."}}