{"id":"W2021027495","doi":"10.4137/mri.s5885","title":"Longitudinal Brain Size Measurements in App/Ps1 Transgenic Mice","year":2010,"lang":"en","type":"article","venue":"Magnetic Resonance Insights","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; National Research Council Institute for Biodiagnostics; University of Winnipeg","funders":"Alzheimer Society of Manitoba; Natural Sciences and Engineering Research Council of Canada; University of Winnipeg; National Research Council Canada; Louisiana Board of Regents","keywords":"Presenilin; Brain size; Mutant; Genetically modified mouse; Amyloid precursor protein; Biology; Dorsum; Transgene; Mutation; Gene; Alzheimer's disease; Anatomy; Neuroscience; Disease; Pathology; Medicine; Genetics; Magnetic resonance imaging","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005061709,0.0005813102,0.0002912662,0.001526727,0.0003710761,0.0003369782,0.0004031774,0.0004283364,0.002294848],"category_scores_gemma":[0.0005030059,0.0004061892,0.0002560374,0.0004480311,0.0003625332,0.0004555486,0.0003672792,0.0009476728,0.0007295808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003045262,"about_ca_system_score_gemma":0.0001973231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00119765,"about_ca_topic_score_gemma":0.002407061,"domain_scores_codex":[0.9997383,0.00003195973,0.00002501899,0.00009691615,0.00007813251,0.00002968997],"domain_scores_gemma":[0.9990126,0.0001166508,0.0004066677,0.00008248917,0.0002097773,0.0001717845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001962836,0.00004203886,0.00115244,0.00002539891,0.000009293527,0.00005592679,0.0001083306,0.00005681369,0.9955788,0.000079115,0.0001284694,0.002567063],"study_design_scores_gemma":[0.00007611641,0.001223874,0.08725046,0.0000363861,0.0001096798,0.001134783,0.0001512111,0.00126364,0.9033982,0.0003631702,0.004939633,0.00005279494],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9477119,0.00272826,0.03791809,0.0001826501,0.00009310224,0.0001944315,0.004726443,0.001696929,0.004748282],"genre_scores_gemma":[0.899423,0.004594882,0.06643974,0.0002659803,0.00008254842,0.001436659,0.007015088,0.001175259,0.01956678],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002294848,"threshold_uncertainty_score":0.007677019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03767539901871333,"score_gpt":0.3012211409589401,"score_spread":0.2635457419402267,"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."}}