{"id":"W6930274268","doi":"10.5281/zenodo.1328279","title":"mrivis: neuroimaging visualization library and development toolkit","year":2018,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Visualization; Neuroimaging; Information visualization; Data visualization; Development (topology)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001581829,0.00290453,0.001448002,0.003419607,0.0006236751,0.003720303,0.004942251,0.001920432,0.1514027],"category_scores_gemma":[0.007156224,0.002082199,0.002056804,0.002463841,0.0004718101,0.003007956,0.003942389,0.002993234,0.1145789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007037558,"about_ca_system_score_gemma":0.002072013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00581367,"about_ca_topic_score_gemma":0.008634924,"domain_scores_codex":[0.9992201,0.0001337357,0.00009174868,0.0001100114,0.0003365731,0.000107741],"domain_scores_gemma":[0.99804,0.0006045125,0.00007996777,0.0004633893,0.0005914358,0.0002207345],"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":[0.0001513508,0.00004245276,0.0002235492,0.0005545151,0.00007259116,0.0001608961,0.0001229839,0.002520354,0.001744072,0.005852486,0.9248639,0.06369092],"study_design_scores_gemma":[0.0003322695,0.0000296759,0.0006907507,0.000286617,0.00009377724,0.0007133812,0.00006356224,0.04006115,0.012647,0.0355155,0.9093678,0.0001985613],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.001094385,0.0007752369,0.3283496,0.0007392623,0.000263456,0.0003210589,0.07359723,0.5707298,0.02413001],"genre_scores_gemma":[0.02208138,0.002241701,0.3424404,0.001247716,0.0002559066,0.002254437,0.2445977,0.3263724,0.05850824],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.1514027,"threshold_uncertainty_score":0.5064925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01574741088393903,"score_gpt":0.2073822381318635,"score_spread":0.1916348272479245,"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."}}