{"id":"W3207589892","doi":"10.20870/ijvr.2020...3316","title":"ConVRgence (VRIC) Virtual Reality International Conference Proceedings","year":2020,"lang":"en","type":"article","venue":"International Journal of Virtual Reality","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agence Nationale de la Recherche; Université de Lorraine","keywords":"Virtual reality; Computer science; Human–computer interaction","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001871297,0.0009961032,0.0006913251,0.003925043,0.001438087,0.007588929,0.001268355,0.001511052,0.1700701],"category_scores_gemma":[0.003626234,0.0003994912,0.0005565329,0.002467255,0.0004883147,0.001716576,0.001978629,0.002065206,0.05364259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001345239,"about_ca_system_score_gemma":0.002318864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004543959,"about_ca_topic_score_gemma":0.01164229,"domain_scores_codex":[0.9978922,0.0001941991,0.0000985001,0.0001868216,0.001463194,0.0001650724],"domain_scores_gemma":[0.9957617,0.0003954613,0.0002198338,0.0002050678,0.002806337,0.0006116707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004232915,0.00003594255,0.00009742572,0.0002418322,0.00000806305,0.00006080244,0.00005923037,0.00006231757,0.0006540501,0.00176828,0.9103189,0.08665094],"study_design_scores_gemma":[0.000005887059,0.00002876681,0.0004051416,0.0001042659,0.000004395478,0.00006834474,0.00006696233,0.00004489305,0.0002752245,0.000189604,0.9987984,0.000008116869],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004591453,0.08531377,0.003981653,0.02070236,0.1824417,0.000218055,0.003475426,0.001989429,0.6972861],"genre_scores_gemma":[0.02114723,0.03040923,0.003124715,0.002417765,0.02465908,0.0001115359,0.004788598,0.001109362,0.9122326],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1700701,"threshold_uncertainty_score":0.5689411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06514114711543116,"score_gpt":0.3039307950400185,"score_spread":0.2387896479245873,"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."}}