{"id":"W4394444711","doi":"10.6084/m9.figshare.22151537","title":"Tissue specificity - tau values","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Colleges and Universities","keywords":"Computational biology; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.002526397,0.003826143,0.002507508,0.003524872,0.0009654927,0.00326286,0.002863008,0.002267921,0.01909734],"category_scores_gemma":[0.007394011,0.0005682335,0.002770366,0.003230061,0.0008134235,0.001119895,0.001560634,0.002827198,0.03309922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00147013,"about_ca_system_score_gemma":0.0014231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006629223,"about_ca_topic_score_gemma":0.01304903,"domain_scores_codex":[0.9979212,0.0002821219,0.0002058255,0.0009836924,0.0003584709,0.0002487728],"domain_scores_gemma":[0.997219,0.00103285,0.0003067798,0.0007540633,0.0005365417,0.0001508482],"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":[0.001748696,0.0003854723,0.04671498,0.003677399,0.001476301,0.0003605,0.0001054461,0.00550178,0.004896407,0.001337805,0.8802463,0.0535489],"study_design_scores_gemma":[0.001832713,0.0007621598,0.1298804,0.001119351,0.001873971,0.00347602,0.0005601859,0.01573028,0.01452717,0.01289359,0.8169771,0.0003669267],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01206716,0.001418533,0.001320539,0.0002128808,0.0002225124,0.00007476353,0.9805427,0.001882216,0.002258791],"genre_scores_gemma":[0.01685277,0.0003022622,0.001919848,0.000132081,0.00005480901,0.0002197005,0.9782717,0.0003039854,0.001942877],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01909734,"threshold_uncertainty_score":0.06388694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04138342033023817,"score_gpt":0.3445137717059327,"score_spread":0.3031303513756945,"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."}}