{"id":"W4390262366","doi":"10.1016/j.jns.2023.121174","title":"Developing an optimal mouse model for Friedreich ataxia","year":2023,"lang":"en","type":"article","venue":"Journal of the Neurological Sciences","topic":"Genetic Neurodegenerative Diseases","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Ataxia; Neuroscience; Biology","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":[0.001215843,0.001451722,0.0008710236,0.003161212,0.0009287971,0.001416572,0.001616064,0.002049137,0.005488096],"category_scores_gemma":[0.0007873106,0.0008644265,0.001072319,0.0006786831,0.0009619316,0.001250861,0.001039778,0.003803229,0.001589735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001388585,"about_ca_system_score_gemma":0.001172803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001713838,"about_ca_topic_score_gemma":0.004449628,"domain_scores_codex":[0.9988502,0.0001641341,0.0002058712,0.0002506568,0.0003322468,0.0001968797],"domain_scores_gemma":[0.9992422,0.0001235594,0.0002066369,0.0001045998,0.0001147223,0.0002082951],"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":[0.0005003479,0.0005330553,0.0006710932,0.0001308022,0.00007886733,0.0003669129,0.0001003154,0.001179763,0.9827292,0.006365573,0.001192181,0.006151949],"study_design_scores_gemma":[0.0006467566,0.00153376,0.00364948,0.000246472,0.0004335399,0.00220112,0.0002299741,0.008582352,0.9325923,0.004107669,0.04566293,0.0001135124],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8114919,0.004550433,0.1562396,0.002558108,0.001065872,0.001626121,0.01019381,0.002197249,0.01007685],"genre_scores_gemma":[0.7880439,0.005012924,0.1634738,0.0009721283,0.0001619456,0.003098518,0.009058991,0.001363364,0.02881454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005488096,"threshold_uncertainty_score":0.01835954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1755953873521648,"score_gpt":0.3540398804929306,"score_spread":0.1784444931407658,"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."}}