{"id":"W2982201048","doi":"10.20870/ijvr.2019.19.2.2914","title":"Comparing Conventional versus Immersive Service Prototypes: An Empirical Study","year":2019,"lang":"en","type":"article","venue":"International Journal of Virtual Reality","topic":"Service and Product Innovation","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bundesministerium für Bildung und Forschung","keywords":"Agile software development; Service design; Service (business); Computer science; Service delivery framework; Product (mathematics); Process (computing); New product development; Process management; Human–computer interaction; Engineering; Business; Software engineering; Marketing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000950377,0.000121986,0.0002025817,0.0002547749,0.00005119981,0.0002023426,0.0005654347,0.00004412298,0.000494765],"category_scores_gemma":[0.0001195081,0.00010955,0.00007594172,0.0003150465,0.00001577963,0.001919557,0.0001291557,0.0002266371,0.0002486728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008798022,"about_ca_system_score_gemma":0.00007295034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005741345,"about_ca_topic_score_gemma":0.0001873445,"domain_scores_codex":[0.9982688,0.00003632161,0.0005407332,0.0001864245,0.0008435749,0.0001241505],"domain_scores_gemma":[0.996883,0.0000636841,0.000623828,0.0001571416,0.002254607,0.00001774408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01178623,0.0034406,0.9412161,0.00009932029,0.001207853,0.00008046478,0.001695554,0.00280912,0.002591798,0.02867522,0.00231916,0.004078656],"study_design_scores_gemma":[0.01116932,0.0009048264,0.9310619,0.0001485892,0.0001624708,0.00003232435,0.0128392,0.01298586,0.0002016432,0.004619772,0.02540015,0.0004739766],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879822,0.000006409144,0.0002546346,0.005636959,0.003020882,0.0003106538,0.000002370996,0.00001479043,0.002771169],"genre_scores_gemma":[0.9940127,0.000001024025,0.0000306222,0.003467306,0.002382191,0.000003149718,0.00005963414,0.00001141173,0.00003196772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02405544,"threshold_uncertainty_score":0.541733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09767674569327389,"score_gpt":0.3710947804447638,"score_spread":0.2734180347514899,"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."}}