{"id":"W4287114225","doi":"10.5281/zenodo.5018356","title":"Multi-Sequence Average Templates for Aging and Neurodegenerative Disease Populations","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; University of Alberta; McGill University","funders":"","keywords":"Sequence (biology); Template; Disease; Biology; Computational biology; Genetics; Computer science; Medicine; Pathology","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":[0.002924823,0.0008916269,0.0008080266,0.002059955,0.0003703326,0.0008885358,0.001942257,0.001259368,0.02794134],"category_scores_gemma":[0.01976561,0.00059804,0.00147723,0.001936698,0.0003174655,0.001103855,0.001152737,0.0009535567,0.01276632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003826589,"about_ca_system_score_gemma":0.0008316708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002082403,"about_ca_topic_score_gemma":0.003138968,"domain_scores_codex":[0.9990389,0.0003103773,0.0001552171,0.0002303299,0.0002210716,0.00004415293],"domain_scores_gemma":[0.9930708,0.004010486,0.0003016946,0.001655206,0.000834166,0.0001277112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007904732,0.0002165415,0.01137317,0.001140102,0.000335839,0.0006403148,0.0002927191,0.07863649,0.009716948,0.03809652,0.1852926,0.6734683],"study_design_scores_gemma":[0.0002683552,0.0003351361,0.01165214,0.000256429,0.000201815,0.003097312,0.0001281022,0.6404002,0.02324458,0.1555475,0.1646997,0.0001685853],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007418768,0.0005872435,0.9494323,0.0001237679,0.000221449,0.0001388159,0.02897085,0.01100601,0.002100855],"genre_scores_gemma":[0.08486574,0.0008120365,0.7948945,0.0001431749,0.000222839,0.001270697,0.1077376,0.004565073,0.005488331],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02794134,"threshold_uncertainty_score":0.09347314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2679714087808056,"score_gpt":0.3873877582772934,"score_spread":0.1194163494964878,"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."}}