{"id":"W2138146369","doi":"10.1016/j.neuroimage.2007.08.033","title":"Automated deformation analysis in the YAC128 Huntington disease mouse model","year":2007,"lang":"en","type":"article","venue":"NeuroImage","topic":"Genetic Neurodegenerative Diseases","field":"Neuroscience","cited_by":173,"is_retracted":false,"has_abstract":false,"ca_institutions":"Child and Family Research Institute; University of British Columbia; SickKids Foundation; Hospital for Sick Children","funders":"","keywords":"Striatum; Neuroanatomy; Neuropathology; Huntington's disease; Neuroscience; Atrophy; Stereology; Magnetic resonance imaging; Basal ganglia; Biology; Putamen; Pathology; Anatomy; Psychology; Central nervous system; Medicine; Disease","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":[0.0003792694,0.0001865039,0.0001518611,0.0003885734,0.0001723295,0.0001373571,0.0004624302,0.00002713089,0.00001900279],"category_scores_gemma":[0.0006871393,0.0001443477,0.0001427431,0.001487429,0.00009071888,0.0002763989,0.00007500511,0.0001706545,0.00006095834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002545132,"about_ca_system_score_gemma":0.00004031988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001222532,"about_ca_topic_score_gemma":0.0000353678,"domain_scores_codex":[0.997945,0.0002990123,0.0003472726,0.0004804781,0.0005249482,0.0004033335],"domain_scores_gemma":[0.9988914,0.0002305613,0.0001164774,0.0005863915,0.00004020679,0.0001349613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007993691,0.0003268946,0.01301122,0.00001751814,0.000005669312,0.00005333247,0.0004968483,0.08769454,0.8971518,0.000417848,0.0003664236,0.0003779937],"study_design_scores_gemma":[0.0002141881,0.00001666674,0.1356958,0.000001606008,0.0000780004,7.478387e-7,0.00002986346,0.4770552,0.3866616,0.00008471613,0.00002940619,0.0001322642],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938834,0.000005184605,0.003770461,0.0003016485,0.00004945549,0.0003271652,0.00005038867,0.0002832539,0.001329073],"genre_scores_gemma":[0.9960746,0.000007835498,0.0001395835,0.003527427,0.00002327258,0.00001878412,0.00001548808,0.00002131749,0.0001716831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5104902,"threshold_uncertainty_score":0.5886328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.029961975491487,"score_gpt":0.2917658606597924,"score_spread":0.2618038851683054,"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."}}