{"id":"W1968795166","doi":"10.1016/j.neuroimage.2004.05.026","title":"Quantitative measurement of neurodegeneration in an ALS–PDC model using MR microscopy","year":2004,"lang":"en","type":"article","venue":"NeuroImage","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Medical Research and Materiel Command; McKnight Foundation; National Center for Research Resources; ALS Association; Natural Sciences and Engineering Research Council of Canada; Scottish Rite Charitable Foundation of Canada","keywords":"Neurodegeneration; Neuroscience; Medicine; Pathology; Psychology; Disease","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":[0.0006824135,0.0007410485,0.0004668278,0.001143483,0.0005697121,0.0004875138,0.0005487446,0.001096711,0.001039923],"category_scores_gemma":[0.000403651,0.0003103116,0.0003262659,0.0004086231,0.000640631,0.0006679826,0.0004005232,0.001150163,0.0002809924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006292975,"about_ca_system_score_gemma":0.0005535576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005935448,"about_ca_topic_score_gemma":0.004524161,"domain_scores_codex":[0.9997471,0.00004558982,0.0000196565,0.00006524203,0.00007231855,0.00005005563],"domain_scores_gemma":[0.9994016,0.0001562119,0.000142319,0.00007963683,0.000139962,0.00008020329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003667492,0.0001400964,0.0003361175,0.00005339545,0.00001997441,0.000181132,0.00006131553,0.001559689,0.9947465,0.0003584762,0.0001048975,0.002071701],"study_design_scores_gemma":[0.000043628,0.000791795,0.003413174,0.00001359074,0.00008245274,0.0005888522,0.00008684908,0.01978979,0.9741045,0.0001928004,0.0008701743,0.00002247101],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9538141,0.001091922,0.04037724,0.0002771209,0.00006237452,0.0001464964,0.0009248028,0.0004505365,0.002855491],"genre_scores_gemma":[0.966958,0.000748235,0.02775451,0.00006952173,0.00001482832,0.0001405994,0.0003578374,0.00009082896,0.003865646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005935448,"threshold_uncertainty_score":0.01180184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.248351718439658,"score_gpt":0.431423795188646,"score_spread":0.183072076748988,"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."}}