{"id":"W2229909148","doi":"10.6084/m9.figshare.1216667.v1","title":"CST Mask in ICBM152 space","year":2014,"lang":"en","type":"article","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; Mathematics","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":[0.0005531167,0.001109812,0.0009293411,0.001545179,0.0006051545,0.001661036,0.001454945,0.001153011,0.4903044],"category_scores_gemma":[0.006437956,0.0006266665,0.0005985946,0.002110761,0.0002120236,0.001224157,0.001327604,0.000894819,0.1728905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005826261,"about_ca_system_score_gemma":0.001323634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00336292,"about_ca_topic_score_gemma":0.004011608,"domain_scores_codex":[0.999647,0.00003832679,0.00005456429,0.00008319529,0.000116651,0.00006024949],"domain_scores_gemma":[0.9980451,0.000613237,0.0001136159,0.0005231711,0.0005979076,0.0001070115],"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":[0.000609218,0.00003088687,0.0006429252,0.0004936365,0.00003312676,0.0001889052,0.0001158588,0.0004313406,0.003479167,0.001801508,0.9340908,0.05808266],"study_design_scores_gemma":[0.0004185637,0.0001263532,0.008504895,0.0002864488,0.00005969779,0.001589895,0.0001202265,0.003384599,0.0170818,0.004955898,0.9633905,0.0000812346],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.007481141,0.0005325605,0.03731128,0.0007546694,0.0007946753,0.0006729388,0.8638341,0.04706951,0.04154909],"genre_scores_gemma":[0.04970933,0.0005736934,0.09963405,0.0008975457,0.0003927902,0.003640955,0.7699461,0.03788435,0.03732122],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4903044,"threshold_uncertainty_score":0.727019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1145739724101252,"score_gpt":0.3683917273883437,"score_spread":0.2538177549782185,"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."}}