{"id":"W6913013831","doi":"10.5281/zenodo.7996696","title":"A reproducible benchmark of resting-state fMRI denoising strategies using fMRIPrep and Nilearn","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Institut Universitaire de Gériatrie de Montréal","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Dysgeusia; Liquation; Diafiltration; Triacetin; Emperipolesis; Fusible alloy","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":[],"category_scores_codex":[0.006117441,0.003172251,0.001296981,0.003066512,0.001224056,0.002769258,0.003292837,0.002437487,0.03564988],"category_scores_gemma":[0.02134572,0.001186911,0.001307669,0.001831264,0.0006681886,0.002013278,0.002862756,0.001965046,0.03279623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006316963,"about_ca_system_score_gemma":0.001795555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004276586,"about_ca_topic_score_gemma":0.008017018,"domain_scores_codex":[0.9981837,0.0003945716,0.0002283982,0.0005039905,0.0005388143,0.0001505676],"domain_scores_gemma":[0.9947983,0.002098098,0.0002089375,0.001477901,0.001202068,0.0002146486],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002537076,0.0004077267,0.003198219,0.003647593,0.0009985697,0.0006976619,0.0005831867,0.02353036,0.04738334,0.009922488,0.570378,0.3367157],"study_design_scores_gemma":[0.001271521,0.001013301,0.01511542,0.001213168,0.0006775512,0.003207334,0.0005157151,0.3352077,0.2497386,0.04830817,0.3429189,0.0008124819],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02489448,0.003336117,0.6236946,0.001073643,0.001545286,0.0005414895,0.04249635,0.2885657,0.01385237],"genre_scores_gemma":[0.09058697,0.002218107,0.6115187,0.0009453594,0.0003736652,0.002401963,0.1345569,0.1381191,0.01927924],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9938825,"threshold_uncertainty_score":0.1192608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0903334228398505,"score_gpt":0.2912256854012094,"score_spread":0.2008922625613589,"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."}}