{"id":"W3163573529","doi":"10.1038/s42003-021-02133-x","title":"Integrating molecular, histopathological, neuroimaging and clinical neuroscience data with NeuroPM-box","year":2021,"lang":"en","type":"article","venue":"Communications Biology","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; Montreal Neurological Institute and Hospital","funders":"National Institute of Biomedical Imaging and Bioengineering; Fonds de Recherche du Québec - Santé; Health Canada; National Institutes of Health; Canada First Research Excellence Fund; Canada Research Chairs; Government of Canada; Ludmer Centre for Neuroinformatics and Mental Health; Weston Brain Institute; Biogen; Bristol-Myers Squibb; Fondation Brain Canada; BioClinica; U.S. Department of Defense; Alzheimer's Disease Neuroimaging Initiative; National Institute on Aging; Alzheimer's Association; McGill University","keywords":"Neuroimaging; Neuroscience; Neurology; Toolbox; Molecular imaging; Precision medicine; Personalized medicine; Medicine; Bioinformatics; Computer science; Psychology; Pathology; Biology; In vivo","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":[0.004194806,0.001453023,0.001072741,0.002436754,0.0004007746,0.001924432,0.001635429,0.001151403,0.03939897],"category_scores_gemma":[0.007891526,0.0008712602,0.001398626,0.001114142,0.0005778138,0.002578789,0.003367013,0.001050109,0.01468001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005114002,"about_ca_system_score_gemma":0.001468654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008634083,"about_ca_topic_score_gemma":0.001430475,"domain_scores_codex":[0.9992017,0.0001420527,0.0001129776,0.0002509095,0.0002394972,0.00005287129],"domain_scores_gemma":[0.9966329,0.001891236,0.0003768322,0.0006034143,0.0003334097,0.000162254],"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":[0.00291458,0.0004142201,0.03001674,0.004111473,0.001113997,0.001798396,0.001432368,0.01994176,0.05976062,0.03494061,0.2759748,0.5675804],"study_design_scores_gemma":[0.0007444375,0.0005409817,0.03141318,0.001401828,0.0004947549,0.004466429,0.0002968216,0.3164424,0.07851826,0.101687,0.4634857,0.0005082533],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01470424,0.0007302432,0.652774,0.0006243361,0.0002219394,0.0002605456,0.03497525,0.2857741,0.009935229],"genre_scores_gemma":[0.1307543,0.001492334,0.7632967,0.001013026,0.0002341846,0.001926494,0.04524292,0.04497771,0.0110623],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03939897,"threshold_uncertainty_score":0.1318027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1947530579685791,"score_gpt":0.4591912815820978,"score_spread":0.2644382236135188,"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."}}