{"id":"W2979738756","doi":"10.24132/csrn.2019.2902.2.9","title":"Immersive Analytics Sensemaking on Different Platforms","year":2019,"lang":"en","type":"article","venue":"Computer Science Research Notes","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Sensemaking; Computer science; Analytics; Visual analytics; Human–computer interaction; Data science; Visualization; Artificial intelligence","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":[0.001998426,0.0001600028,0.0001949313,0.0007366135,0.000591944,0.001013744,0.002717054,0.00005127231,0.00001414601],"category_scores_gemma":[0.0002464132,0.000116294,0.00006850305,0.002585777,0.0004731056,0.0009968018,0.001500017,0.0004145417,0.0007091047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002668379,"about_ca_system_score_gemma":0.0003317069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003332541,"about_ca_topic_score_gemma":0.000003495294,"domain_scores_codex":[0.9960706,0.00005258996,0.0002153156,0.0008209855,0.001854327,0.0009862282],"domain_scores_gemma":[0.9966789,0.0009603851,0.00006589825,0.001449708,0.0004604939,0.0003845511],"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":[0.00001396664,0.0002979131,0.001872233,0.00003220352,0.0000199905,0.00001834263,0.001921124,0.003800255,0.02283511,0.6217321,0.0006328356,0.346824],"study_design_scores_gemma":[0.0002648897,0.0008052809,0.0245759,0.00008879337,0.000001211121,0.00001399625,0.00005465491,0.9232256,0.03390061,0.01601464,0.0007819787,0.0002724525],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4279981,0.00001514711,0.5684501,0.001557866,0.0002341788,0.0003116909,0.000001575963,0.00005309248,0.001378263],"genre_scores_gemma":[0.9907823,0.00001682423,0.008683399,0.0003349888,0.00009449493,0.000008035496,0.000001171382,0.000006882474,0.00007194159],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9194254,"threshold_uncertainty_score":0.9775557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1624218790834614,"score_gpt":0.4155565937707238,"score_spread":0.2531347146872625,"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."}}