{"id":"W3173122861","doi":"","title":"Magnetic resonance imaging of G_ -gangliosidosis in a golden retriever","year":2005,"lang":"en","type":"article","venue":"Canadian veterinary journal","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Labrador Retriever; Magnetic resonance imaging; Nuclear magnetic resonance; Medicine; Physics; Pathology; Radiology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002472461,0.00008507154,0.00009329654,0.0002370275,0.00006083171,0.000027539,0.0001981697,0.00006351132,0.0003389774],"category_scores_gemma":[0.00008158264,0.00009032423,0.00005176329,0.000173825,0.00005498204,0.00001032286,0.00003666951,0.0001712194,0.00001395164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001003753,"about_ca_system_score_gemma":0.0003658549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001899678,"about_ca_topic_score_gemma":0.009803938,"domain_scores_codex":[0.9991242,0.00006599344,0.0002134156,0.000147553,0.0001309919,0.000317887],"domain_scores_gemma":[0.9994156,0.00000470544,0.00004317695,0.0001747723,0.00008858505,0.0002732012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004556439,0.00008695895,0.08397684,0.00003408255,0.00001673625,0.001354387,0.0003129788,0.00008856669,0.6103887,0.00009687273,0.01879001,0.2843982],"study_design_scores_gemma":[0.001513938,0.0008171219,0.1718154,0.00009900826,0.000004572379,0.002392278,0.0001420489,0.0004045454,0.01840475,0.00006026643,0.8040782,0.0002678619],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987699,0.007261813,0.00001991179,0.0009835471,0.00006137011,0.00009363836,0.00001632173,0.000001785065,0.003862606],"genre_scores_gemma":[0.9977679,0.000228193,0.0007100108,0.0002410409,0.000183372,0.000004299366,0.000006041687,0.00001374798,0.0008453697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7852882,"threshold_uncertainty_score":0.5470827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01357454770177901,"score_gpt":0.2613543297109167,"score_spread":0.2477797820091377,"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."}}