{"id":"W3210566649","doi":"10.5281/zenodo.20181398","title":"neurostuff/NiMARE: 0.0.9rc2","year":2021,"lang":"en","type":"article","venue":"Open MIND","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Neurological Institute and Hospital; McGill University","funders":"","keywords":"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003681449,0.00005313061,0.0001087688,0.00001114803,0.00004643298,0.00003186891,0.00009320268,0.00002928437,0.002755819],"category_scores_gemma":[0.0000345222,0.00004875762,0.00002939599,0.0001383029,0.00001955947,0.0000545592,0.0001382767,0.00008449011,0.0003133965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001437356,"about_ca_system_score_gemma":0.00007695625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003545063,"about_ca_topic_score_gemma":0.00000669352,"domain_scores_codex":[0.9995403,0.000006554667,0.00009549277,0.0001965582,0.00006490945,0.0000961701],"domain_scores_gemma":[0.9995221,0.00001445784,0.00002394359,0.0003143326,0.00005788484,0.00006722985],"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":[0.00005256142,0.0004442513,0.001354868,0.000009602485,0.00001210998,0.0004138908,0.0001682716,0.000007608375,0.2015413,0.00147834,0.01784508,0.7766721],"study_design_scores_gemma":[0.0002741328,0.0000419212,0.001582237,0.00001943958,0.00001929751,0.0001116215,0.00006311165,0.0000324898,0.1369814,0.0003037434,0.860513,0.00005763808],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.2552191,0.0004047829,0.02953856,0.02279145,0.0001198156,0.001533614,0.00006417032,0.00002878386,0.6902997],"genre_scores_gemma":[0.4101144,0.0001534039,0.5156303,0.001975918,0.0001529586,0.00006447366,0.0001449594,0.00003501095,0.07172853],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8426679,"threshold_uncertainty_score":0.9981558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0734507676061595,"score_gpt":0.412314568001928,"score_spread":0.3388638003957685,"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."}}