{"id":"W3093884868","doi":"10.1101/2020.10.17.20214304","title":"A Methodological Checklist for fMRI Drug Cue Reactivity Studies: Development and Expert Consensus","year":2020,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Institut Universitaire en Santé Mentale de Québec","funders":"National Center for Complementary and Integrative Health; National Institute on Drug Abuse; Laureate Institute for Brain Research, University of Tulsa; National Institute on Alcohol Abuse and Alcoholism; Deutsche Forschungsgemeinschaft; National Alliance for Research on Schizophrenia and Depression; Oklahoma Center for the Advancement of Science and Technology","keywords":"Checklist; Psychology; Systematic review; Delphi method; Clinical psychology; MEDLINE; Cognitive psychology; Computer science; Artificial intelligence","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.4293314,0.005339448,0.008749594,0.02858274,0.007017854,0.007656938,0.009758265,0.01018094,0.01598999],"category_scores_gemma":[0.6288621,0.005872394,0.01610065,0.01480001,0.006659796,0.007572223,0.01129192,0.01200837,0.006729986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01186002,"about_ca_system_score_gemma":0.06538659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002939233,"about_ca_topic_score_gemma":0.004981539,"domain_scores_codex":[0.4146515,0.2798257,0.2559177,0.01020232,0.03450406,0.004898631],"domain_scores_gemma":[0.2510783,0.3538473,0.08085974,0.05585856,0.2519117,0.006444385],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00430889,0.0008446263,0.006534059,0.3174524,0.002528087,0.002406136,0.0389911,0.003932568,0.007029436,0.02792719,0.2813293,0.3067162],"study_design_scores_gemma":[0.007670372,0.001795458,0.01553779,0.2699981,0.003673578,0.001891761,0.01918753,0.01056977,0.006504271,0.0577547,0.6040539,0.001362821],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"methods","genre_scores_codex":[0.006773867,0.007514031,0.1853989,0.01680772,0.007013043,0.7577993,0.01183098,0.001765708,0.005096522],"genre_scores_gemma":[0.004752629,0.00143785,0.2089491,0.002125273,0.0004028175,0.7794244,0.00209702,0.0001225393,0.0006883962],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5706686,"threshold_uncertainty_score":0.703736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4158782906502205,"score_gpt":0.4146978928862645,"score_spread":0.001180397763955954,"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."}}