{"id":"W6901982381","doi":"10.6084/m9.figshare.15079514","title":"Additional file 1 of ABrainVis: an android brain image visualization tool","year":2021,"lang":"en","type":"article","venue":"Open MIND","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Visualization; Data visualization; Android (operating system); Information visualization; Image manipulation; Table (database); File format","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000129456,0.00007091647,0.0001123571,0.00004972264,0.0000661435,0.0004458781,0.0006312336,0.00003260784,0.783995],"category_scores_gemma":[0.000691887,0.00007505075,0.00002914892,0.0004497355,0.00003232035,0.001365525,0.0003600832,0.00003258292,0.0004819584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001108486,"about_ca_system_score_gemma":0.0002511011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000211051,"about_ca_topic_score_gemma":0.00001827736,"domain_scores_codex":[0.9991009,0.00008633895,0.0002121533,0.0002889386,0.0002065321,0.0001051466],"domain_scores_gemma":[0.9989758,0.0002676587,0.0001107676,0.000386012,0.0002005815,0.00005921576],"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":[0.000001074054,0.0001123399,0.000001938918,0.000002922732,0.000006559025,0.00001220854,0.0001466555,0.000005111505,0.0003481571,0.00336819,0.9708052,0.02518962],"study_design_scores_gemma":[0.0001665415,0.00003788085,0.0001665211,0.00004729195,0.000002614134,0.00001247986,0.00008302658,0.06009126,0.003705991,0.0004561011,0.9351122,0.0001180226],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.0007085548,0.00001013363,0.3464297,0.0007202133,0.0001151139,0.0002762178,0.6061047,0.00001690165,0.04561836],"genre_scores_gemma":[0.001031867,0.000004211598,0.4905036,0.002297596,0.0001212756,0.00004686143,0.4784623,0.00002162932,0.02751062],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.783513,"threshold_uncertainty_score":0.6194761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03102328890176876,"score_gpt":0.336298801322036,"score_spread":0.3052755124202672,"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."}}