{"id":"W6893038987","doi":"10.5281/zenodo.1248927","title":"poldracklab/fmriprep: 1.0.15","year":2018,"lang":"en","type":"other","venue":"Figshare","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Masking (illustration); Identification (biology); Troubleshooting; Noise (video)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00003492094,0.0005191222,0.0004023275,0.0003765224,0.00004565345,0.00009504145,0.0008093956,0.0005332396,0.9958928],"category_scores_gemma":[0.0008032162,0.0005178114,0.0001669002,0.0003160377,0.00001716432,0.000064589,0.00034163,0.000251788,0.9757416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001061329,"about_ca_system_score_gemma":0.0001474167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006604633,"about_ca_topic_score_gemma":0.0003412023,"domain_scores_codex":[0.9980516,0.00006498744,0.0001985048,0.0006805844,0.0004717426,0.0005325797],"domain_scores_gemma":[0.9979841,0.00002388491,0.0004095278,0.00127335,0.0001125273,0.0001966408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003405404,0.00002375821,0.000002382477,0.0002308702,0.00007023062,0.00003938385,0.00001297143,6.56788e-8,0.00001524522,0.000004848647,0.9993501,0.0002467877],"study_design_scores_gemma":[0.0003056132,0.0000229858,0.00002467975,0.008338765,0.00002334205,0.00001373899,0.000002260238,0.000005935356,0.0001350144,0.00001348284,0.9905159,0.0005982682],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[4.794358e-8,0.0008426202,2.294404e-8,0.000004714501,0.00008555874,0.0002838082,0.4805402,0.001157617,0.5170855],"genre_scores_gemma":[0.00001239258,5.559198e-7,0.00006540061,0.0001016711,0.002191347,0.0001548737,0.3813603,0.002808959,0.6133045],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09917986,"threshold_uncertainty_score":0.9997274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05425791162274226,"score_gpt":0.2993618240825845,"score_spread":0.2451039124598422,"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."}}