{"id":"W4387810005","doi":"10.2196/45828","title":"Connect Brain, a Mobile App for Studying Depth Perception in Angiography Visualization: Gamification Study","year":2023,"lang":"en","type":"article","venue":"JMIR Neurotechnology","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Visualization; Computer science; Human–computer interaction; Rendering (computer graphics); Perception; Context (archaeology); Creative visualization; Mobile device; Multimedia; Android (operating system); Volume rendering; Data science; World Wide Web; Artificial intelligence; Psychology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002973452,0.001025738,0.0007458254,0.001226283,0.0004351324,0.001256879,0.0007468332,0.001042568,0.006333875],"category_scores_gemma":[0.009390309,0.0003758524,0.0006121356,0.0003081941,0.000533511,0.001309649,0.001092704,0.0008821746,0.0007802686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003252289,"about_ca_system_score_gemma":0.0003884892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004938426,"about_ca_topic_score_gemma":0.0007347993,"domain_scores_codex":[0.9993018,0.0003062962,0.0000517904,0.0001291152,0.0001179924,0.00009306683],"domain_scores_gemma":[0.9943781,0.004478558,0.0002436067,0.0002539087,0.0002812412,0.0003645041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.02553183,0.1653336,0.09251674,0.007861318,0.0008324169,0.003199971,0.03742363,0.008377241,0.06244909,0.007110388,0.01559052,0.5737733],"study_design_scores_gemma":[0.01576109,0.2646717,0.4944506,0.002986177,0.002296148,0.005404358,0.02857234,0.0716808,0.0417358,0.01853048,0.05297625,0.0009343273],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905533,0.000164639,0.004753803,0.0001385026,0.00004757242,0.001673128,0.0001900061,0.0001363525,0.002342623],"genre_scores_gemma":[0.9511123,0.0005113551,0.03506123,0.0003490489,0.00005700904,0.008323238,0.0002819049,0.00007721875,0.00422667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006333875,"threshold_uncertainty_score":0.02118897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04212967323006492,"score_gpt":0.3600946178990866,"score_spread":0.3179649446690216,"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."}}