{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001089067,0.001578015,0.001062674,0.002257364,0.0006971393,0.001767262,0.001897263,0.001260844,0.7825117],"category_scores_gemma":[0.01833903,0.0006227897,0.0007788612,0.002107887,0.0003219312,0.001938702,0.001910999,0.00105483,0.2355155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005486936,"about_ca_system_score_gemma":0.001041948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00458803,"about_ca_topic_score_gemma":0.008327261,"domain_scores_codex":[0.9995232,0.00008132064,0.00006643302,0.0001202598,0.0001443497,0.00006448545],"domain_scores_gemma":[0.9905174,0.006597651,0.0004047421,0.0006884088,0.001460512,0.0003312384],"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":[0.0003363187,0.00005212053,0.0007378201,0.001265014,0.00002462502,0.00007941718,0.00007625372,0.0001541481,0.0003216184,0.0004712979,0.9826506,0.01383074],"study_design_scores_gemma":[0.001565575,0.0001833828,0.01495845,0.001325448,0.0001559507,0.0008558707,0.0003963168,0.002448878,0.004065545,0.01305405,0.9607332,0.0002574289],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.0006017599,0.0001085243,0.003940607,0.0002949568,0.000119161,0.0003355147,0.9740255,0.01444456,0.006129413],"genre_scores_gemma":[0.0224051,0.0003998945,0.02309148,0.0016889,0.0004150723,0.004216511,0.8853985,0.02605595,0.03632852],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.7825117,"threshold_uncertainty_score":0.3102207,"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."}}