{"id":"W4394469469","doi":"10.6084/m9.figshare.7335242","title":"Human MNI Adult Templates","year":2018,"lang":"en","type":"dataset","venue":"Figshare","topic":"Neurological disorders and treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Template; Computer science; Programming language","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001122313,0.002546432,0.001092349,0.00331542,0.001143098,0.002159458,0.002490072,0.001667955,0.4384651],"category_scores_gemma":[0.00869372,0.0009437689,0.0007236286,0.002991611,0.0004980091,0.00371974,0.001820445,0.001392325,0.3180944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001226887,"about_ca_system_score_gemma":0.002819782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02364275,"about_ca_topic_score_gemma":0.05218717,"domain_scores_codex":[0.9992449,0.00007670233,0.0001315661,0.0002668202,0.0002119513,0.00006818638],"domain_scores_gemma":[0.9972869,0.0003956169,0.000170104,0.0009751053,0.001002576,0.000169648],"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":[0.0001146541,0.00003122227,0.0007615886,0.0003132898,0.00001905476,0.0001172096,0.0001213506,0.0001026361,0.0007726484,0.001178257,0.9403392,0.05612886],"study_design_scores_gemma":[0.0001246599,0.0000755729,0.01353879,0.0003322285,0.00005741645,0.002334458,0.0001709492,0.0006102675,0.00229361,0.007800186,0.9725749,0.00008708713],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.005773352,0.002385695,0.02222143,0.001402499,0.001117999,0.001232104,0.7498445,0.02291185,0.1931105],"genre_scores_gemma":[0.03204812,0.001706579,0.03795364,0.001793084,0.0003795894,0.003157314,0.7739296,0.006821962,0.1422101],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4384651,"threshold_uncertainty_score":0.8009614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05658947672322798,"score_gpt":0.3252161303553602,"score_spread":0.2686266536321322,"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."}}