{"id":"W3172227654","doi":"10.1101/2021.05.29.445964","title":"Effect sizes and test-retest reliability of the fMRI-based Neurologic Pain Signature","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Pain Management and Placebo Effect","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Center for Complementary and Integrative Health; National Center for Advancing Translational Sciences; National Institutes of Health","keywords":"Reliability (semiconductor); Test (biology); Psychology; Multivariate analysis of variance; Sample size determination; Multivariate statistics; Clinical trial; Clinical psychology; Medicine; Physical medicine and rehabilitation; Computer science; Statistics; Internal medicine; Machine learning","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":[0.0579665,0.0006895718,0.0009366803,0.001038013,0.0008751937,0.001752999,0.001084809,0.001153217,0.001609198],"category_scores_gemma":[0.1324126,0.0006134932,0.001811308,0.0006957232,0.001867643,0.001306553,0.001511774,0.001471821,0.0005876679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000470351,"about_ca_system_score_gemma":0.0004798321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001829708,"about_ca_topic_score_gemma":0.003875849,"domain_scores_codex":[0.9657472,0.02097411,0.002922847,0.004908481,0.005034504,0.0004128484],"domain_scores_gemma":[0.8169209,0.1337861,0.01159897,0.01966622,0.0173697,0.0006580697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005468955,0.000790746,0.8107451,0.00156268,0.01512964,0.000215749,0.004526017,0.005965928,0.02688749,0.002579335,0.005238406,0.1208899],"study_design_scores_gemma":[0.0002390202,0.002141687,0.9765726,0.0002207879,0.001807434,0.0003552026,0.0004122147,0.005511163,0.007306361,0.002160595,0.003169982,0.0001029481],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9334735,0.004574079,0.04937467,0.0007393637,0.0006413456,0.001383605,0.001775964,0.0002933638,0.007744229],"genre_scores_gemma":[0.9855511,0.0002432859,0.01125517,0.0002065926,0.00009784297,0.0009801314,0.0006884888,0.0001221928,0.0008550453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0579665,"threshold_uncertainty_score":0.3065598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009225171718335822,"score_gpt":0.2091648791755358,"score_spread":0.1999397074572,"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."}}