{"id":"W4394550046","doi":"10.6084/m9.figshare.1216667","title":"CST Mask in ICBM152 space","year":2014,"lang":"en","type":"dataset","venue":"Figshare","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Space (punctuation); Computer science; Computer graphics (images); Operating system","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":[],"consensus_categories":[],"category_scores_codex":[0.0009349483,0.002733673,0.001662298,0.002674364,0.0007825539,0.001922227,0.003505599,0.002343267,0.1287625],"category_scores_gemma":[0.005537173,0.0007425157,0.001706402,0.003429433,0.000426557,0.001037579,0.001811192,0.0015218,0.1280898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001313309,"about_ca_system_score_gemma":0.002379005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01768549,"about_ca_topic_score_gemma":0.03308145,"domain_scores_codex":[0.9991961,0.00009308771,0.00009617552,0.0003350702,0.0001392775,0.0001403601],"domain_scores_gemma":[0.9984754,0.0003263911,0.000148696,0.000500113,0.000408657,0.0001408025],"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":[0.0001896241,0.00003277325,0.001228796,0.0006328377,0.00006139227,0.00004851945,0.00002623166,0.0003034983,0.0002864717,0.0003091064,0.9915183,0.005362464],"study_design_scores_gemma":[0.0006922426,0.00008919599,0.01128151,0.0004019315,0.0001228952,0.0004380122,0.0001091966,0.001129057,0.00190661,0.001964759,0.981801,0.00006366367],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003832921,0.00008287391,0.0002373873,0.00004670437,0.00003269826,0.00003816443,0.9975799,0.0009486072,0.0006503508],"genre_scores_gemma":[0.001193126,0.00004867094,0.0007538293,0.00004276631,0.00001493946,0.0002433988,0.9966175,0.0002127301,0.0008730198],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1287625,"threshold_uncertainty_score":0.4307536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1273186298284547,"score_gpt":0.3907417181053104,"score_spread":0.2634230882768557,"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."}}