{"id":"W6926287538","doi":"10.24433/co.ed5ddfef-76a3-4996-b298-e3200f69141b","title":"FMRIPrep: a robust preprocessing pipeline for functional MRI","year":2018,"lang":"en","type":"other","venue":"Code Ocean","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Preprocessor; Workflow; Interpretability; Pipeline (software); Data pre-processing; Pattern recognition (psychology); Visualization; Inference","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":[0.005181583,0.002757763,0.001146595,0.003100566,0.001263925,0.003006982,0.003476466,0.001664866,0.03374209],"category_scores_gemma":[0.02140705,0.002003195,0.001939025,0.001663299,0.001079916,0.002612292,0.004228448,0.003141777,0.03096022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007320759,"about_ca_system_score_gemma":0.003339875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002378377,"about_ca_topic_score_gemma":0.0059965,"domain_scores_codex":[0.9980835,0.0003276005,0.000276219,0.0005306895,0.0006488381,0.0001331805],"domain_scores_gemma":[0.9944373,0.002215881,0.0004341614,0.001217856,0.001469377,0.0002253689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009010164,0.0001731023,0.0033536,0.002247384,0.0004501345,0.0008660178,0.00116855,0.007277299,0.05141947,0.01189078,0.4425491,0.4777035],"study_design_scores_gemma":[0.0003741887,0.0003896881,0.01490702,0.0007984861,0.0003014192,0.002637799,0.0004046967,0.09673849,0.1420288,0.08972976,0.6509368,0.0007529056],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.002646847,0.0005007131,0.7941276,0.0004797608,0.0001968368,0.0005815271,0.009637936,0.1876028,0.004225986],"genre_scores_gemma":[0.02015949,0.0005869821,0.8737435,0.0009358271,0.0001412734,0.002523177,0.02650238,0.06961355,0.005793792],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.03374209,"threshold_uncertainty_score":0.1128786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02109828840396739,"score_gpt":0.2198284144065379,"score_spread":0.1987301260025705,"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."}}