{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004377633,0.0002319299,0.0002976363,0.000145544,0.00003426016,0.0002821484,0.001206891,0.0001458677,0.0005700588],"category_scores_gemma":[0.0004732356,0.0002289182,0.0001791321,0.0001908352,0.0001300406,0.001731872,0.000094724,0.0006260219,0.00007531386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002571938,"about_ca_system_score_gemma":0.0001276763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001118821,"about_ca_topic_score_gemma":0.000002437122,"domain_scores_codex":[0.997209,0.0000240333,0.00109107,0.000190317,0.001265981,0.0002196],"domain_scores_gemma":[0.9977613,0.00008927691,0.0003434171,0.0000928076,0.001383358,0.0003298103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002720798,0.0009839709,0.010587,0.0002424487,0.003958423,0.000572391,0.01868033,0.0908833,0.03410257,0.3923692,0.2596875,0.1852122],"study_design_scores_gemma":[0.01101908,0.002473317,0.02247812,0.001397727,0.0002517966,0.001859599,0.01845568,0.3308129,0.05886951,0.01316393,0.5359136,0.003304773],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4368075,0.00007633216,0.2136087,0.0319308,0.01203833,0.0004424593,0.001186766,0.0006164398,0.3032927],"genre_scores_gemma":[0.9979731,0.000170547,0.0001822219,0.0005240501,0.0009970387,0.000004652426,0.00003329383,0.00002426885,0.00009080138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5611656,"threshold_uncertainty_score":0.9335014,"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."}}