{"id":"W4396827266","doi":"10.1145/3613905.3651085","title":"I Did Not Notice: A Comparison of Immersive Analytics with Augmented and Virtual Reality","year":2024,"lang":"en","type":"article","venue":"","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Sensemaking; Augmented reality; Computer science; Analytics; Virtual reality; Human–computer interaction; Notice; Embodied cognition; Task (project management); Data science; Artificial intelligence; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0001846782,0.00009442835,0.00017802,0.00008149278,0.0000519959,0.0001300869,0.0002362205,0.00003635478,0.000009604968],"category_scores_gemma":[0.0000233397,0.00006756045,0.00002735362,0.0005106386,0.00009699092,0.000277713,0.000128825,0.00009545693,0.00000987324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002916043,"about_ca_system_score_gemma":0.0000824348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002400259,"about_ca_topic_score_gemma":0.00006532975,"domain_scores_codex":[0.9991055,0.00002613077,0.000214139,0.0002738356,0.0002361593,0.0001442354],"domain_scores_gemma":[0.9992568,0.0001508504,0.00005341061,0.0003560832,0.00007578693,0.0001070671],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004707419,0.0002647038,0.0007328336,0.00009686781,0.0001693718,0.000007142221,0.003981911,0.0008756673,0.008237222,0.9308906,0.004305671,0.05039098],"study_design_scores_gemma":[0.0003945191,0.0009555111,0.01415198,0.0000901878,0.00006599107,0.00001378064,0.001089383,0.9520988,0.02617329,0.0007597225,0.003950305,0.0002565001],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08474493,0.00006538373,0.9088402,0.002954743,0.00003841609,0.0001442765,0.00001657624,0.00006466757,0.003130836],"genre_scores_gemma":[0.996173,0.00001539914,0.003380265,0.0001549895,0.00001143421,0.000003972523,0.000004788569,0.000004386489,0.0002517514],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9512231,"threshold_uncertainty_score":0.2755035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04390878291466081,"score_gpt":0.3347038136885975,"score_spread":0.2907950307739366,"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."}}