{"id":"W4412210144","doi":"","title":"What Makes the Hype Hip? An Investigation of the Determinants of the Metaverse Hype among C-Level Executives","year":2024,"lang":"en","type":"article","venue":"University of Southern Denmark Research Portal (University of Southern Denmark)","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Innovation Cluster (Canada)","funders":"","keywords":"Metaverse; Data science; Computer science; Human–computer interaction","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":[],"consensus_categories":[],"category_scores_codex":[0.00354344,0.0001922173,0.0003185691,0.001204571,0.002213569,0.003803394,0.0007550249,0.001235183,0.005309001],"category_scores_gemma":[0.02720678,0.0004300278,0.0002128654,0.001271634,0.002305392,0.002041397,0.002010317,0.003296561,0.0004927426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009300046,"about_ca_system_score_gemma":0.002243843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009199537,"about_ca_topic_score_gemma":0.01404246,"domain_scores_codex":[0.9973595,0.001079517,0.0001547604,0.0001560816,0.0005124796,0.000737711],"domain_scores_gemma":[0.9414999,0.02587167,0.01779322,0.001731245,0.00392138,0.009182492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001440524,0.000705672,0.9515582,0.00003570691,0.00005864,0.0003097725,0.03680914,0.00006654803,0.0005142455,0.001640037,0.000663581,0.007494397],"study_design_scores_gemma":[0.00001450469,0.0001489076,0.8932127,0.00005497551,0.00002048982,0.0001610568,0.1039219,0.0003365459,0.000123118,0.0006996088,0.00128711,0.00001902608],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.997649,0.00004803183,0.00006108266,0.000609164,0.000006969537,0.000009110133,0.00002026628,0.00000130104,0.001595037],"genre_scores_gemma":[0.9996201,0.00003759078,0.00002749859,0.00006960757,0.000007708602,0.000006355373,0.00001827802,0.000001374485,0.0002115205],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.009199537,"threshold_uncertainty_score":0.0187397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0646764932460881,"score_gpt":0.2756296883518331,"score_spread":0.210953195105745,"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."}}