{"id":"W4206809292","doi":"10.3390/cancers14030464","title":"Untapped Neuroimaging Tools for Neuro-Oncology: Connectomics and Spatial Transcriptomics","year":2022,"lang":"en","type":"article","venue":"Cancers","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Brain Institute; Princess Margaret Cancer Centre; University Health Network; University of Toronto","funders":"","keywords":"Connectomics; Neuroimaging; Normative; Magnetic resonance imaging; Neuroscience; Connectome; Medicine; Computer science; Psychology; Medical physics; Radiology; Functional connectivity","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006573227,0.00104901,0.001207917,0.003682908,0.0009017319,0.004610677,0.001653261,0.002234589,0.005006247],"category_scores_gemma":[0.01362304,0.0006376083,0.0009873097,0.002987696,0.005100895,0.006804489,0.003322775,0.004036089,0.001536661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001431431,"about_ca_system_score_gemma":0.002057244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001629734,"about_ca_topic_score_gemma":0.002562624,"domain_scores_codex":[0.9982737,0.0007641211,0.0001028547,0.0003370266,0.0004272249,0.00009508121],"domain_scores_gemma":[0.9906418,0.005102507,0.0006410581,0.001822791,0.001314172,0.0004778176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002421333,0.0001193231,0.01696619,0.002589963,0.0005385441,0.001160309,0.001950451,0.005370606,0.05295151,0.4197809,0.03520469,0.4631254],"study_design_scores_gemma":[0.00002085652,0.0001157559,0.01939366,0.001033115,0.0001811739,0.00236205,0.001166547,0.01103381,0.01271812,0.8103103,0.1414928,0.0001717574],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.03236006,0.1017486,0.7863964,0.04474607,0.002396155,0.0001678764,0.005363225,0.002642862,0.02417883],"genre_scores_gemma":[0.3278173,0.08181372,0.5540276,0.01526999,0.00442745,0.001028896,0.005214197,0.001432982,0.008967848],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.006573227,"threshold_uncertainty_score":0.03476298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02637745687204918,"score_gpt":0.2598675742986232,"score_spread":0.233490117426574,"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."}}