{"id":"W6968853540","doi":"10.5281/zenodo.6658382","title":"nipy/nibabel:","year":2022,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; McGill University; SickKids Foundation; Montreal Neurological Institute and Hospital; Université de Sherbrooke; Baycrest Hospital; Ubisoft (Canada)","funders":"","keywords":"Metadata; Feature (linguistics); Header; Synonym (taxonomy); George (robot); Semantics (computer science)","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003165121,0.000971298,0.0006613098,0.001828065,0.00255955,0.005768008,0.002718608,0.002371822,0.4280421],"category_scores_gemma":[0.004917991,0.0007181772,0.0005412872,0.001244549,0.001101268,0.007907471,0.004490693,0.003962895,0.4039992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003165648,"about_ca_system_score_gemma":0.005133424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005544913,"about_ca_topic_score_gemma":0.01640825,"domain_scores_codex":[0.9984875,0.0001728987,0.00004700032,0.0002954791,0.0008164811,0.0001805752],"domain_scores_gemma":[0.9974425,0.0002439837,0.00009987939,0.0003146523,0.0009513519,0.0009476803],"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":[0.00003858481,0.00001542924,0.0000984427,0.0001490826,0.000002671223,0.00003079748,0.00009895569,0.00002860652,0.0006209912,0.004895867,0.9284511,0.06556948],"study_design_scores_gemma":[0.000002177253,0.000003814298,0.00006120525,0.00003290068,7.710823e-7,0.00002595843,0.00003275981,0.00001592629,0.0001962537,0.0003958971,0.9992291,0.000003252529],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"software","genre_scores_codex":[0.00107866,0.01432827,0.01283794,0.02483693,0.01361319,0.0003099381,0.005548469,0.01817612,0.9092706],"genre_scores_gemma":[0.004411847,0.005449005,0.007122736,0.005595255,0.000882416,0.0002456633,0.005334259,0.0101781,0.9607808],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.5719579,"threshold_uncertainty_score":0.8158286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03405271868876745,"score_gpt":0.248009088594969,"score_spread":0.2139563699062016,"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."}}