{"id":"W4394112280","doi":"10.6084/m9.figshare.21062301","title":"Additional file 18 of Abnormal molecular signatures of inflammation, energy metabolism, and vesicle biology in human Huntington disease peripheral tissues","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Genetic Neurodegenerative Diseases","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Inflammation; Huntington's disease; Energy metabolism; Disease; Biology; Peripheral; Huntingtin; Metabolism; Neuroscience; Pathology; Medicine; Immunology; Biochemistry; Internal medicine; Endocrinology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001226596,0.001943743,0.001704828,0.002490784,0.0009392822,0.002368003,0.002046737,0.002033108,0.5380484],"category_scores_gemma":[0.009763616,0.0006148106,0.001556835,0.003619612,0.0004371177,0.001614632,0.001478882,0.001355782,0.1216446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001269567,"about_ca_system_score_gemma":0.001825558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007965672,"about_ca_topic_score_gemma":0.01434365,"domain_scores_codex":[0.9993429,0.00007574432,0.0001038534,0.0002306889,0.0001296125,0.0001172238],"domain_scores_gemma":[0.994015,0.003704245,0.0004704185,0.0005984486,0.0009010789,0.0003108355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003653444,0.00006378806,0.002143684,0.002485591,0.00007795847,0.00008377421,0.00003721069,0.0002992332,0.0003402804,0.0004199258,0.9899789,0.003704306],"study_design_scores_gemma":[0.004460525,0.0001706178,0.02665823,0.002109669,0.000281778,0.0005684607,0.0002069924,0.001125048,0.001706508,0.0070499,0.9555287,0.0001337472],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007374522,0.00001900973,0.00003772602,0.00002997246,0.000008970685,0.0000116454,0.9994987,0.0001310806,0.0001891228],"genre_scores_gemma":[0.001174303,0.00004650359,0.0004652444,0.0001110053,0.00001860396,0.0002010067,0.9968015,0.0001387643,0.001043067],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5380484,"threshold_uncertainty_score":0.6589178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878805659569576,"score_gpt":0.264320930428544,"score_spread":0.2455328738328483,"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."}}