{"id":"W6987938099","doi":"","title":"Virtual reality and augmented reality: 14th EuroVR international conference, EuroVR 2017, Laval, France, December 12-14, 2017, proceedings","year":2017,"lang":"en","type":"other","venue":"CERN Document Server (European Organization for Nuclear Research)","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Virtual reality; Augmented reality; Visualization; Virtual world","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":[0.003015371,0.002231523,0.002145648,0.001896935,0.0006962409,0.005960659,0.002267558,0.001961236,0.05520311],"category_scores_gemma":[0.00279295,0.0008666997,0.001280999,0.001132341,0.001150341,0.003131221,0.002934498,0.002000769,0.0307609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009543807,"about_ca_system_score_gemma":0.002186965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00794844,"about_ca_topic_score_gemma":0.009436348,"domain_scores_codex":[0.9983364,0.0003358974,0.0001023236,0.0002609217,0.0007831536,0.0001812737],"domain_scores_gemma":[0.9980331,0.0003318497,0.00003915337,0.0004341832,0.0009507829,0.0002109741],"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":[0.0005583349,0.0003061367,0.0004256873,0.0007706169,0.0001716343,0.0002352507,0.0002081864,0.002830339,0.008593422,0.01269621,0.5663236,0.4068806],"study_design_scores_gemma":[0.0001277612,0.0002506868,0.002373081,0.0005285221,0.0001656773,0.0008753256,0.0003254882,0.02128079,0.01629033,0.01035953,0.9473134,0.0001094084],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01814961,0.08404852,0.6377078,0.006426712,0.03274334,0.0007449471,0.009985425,0.0423593,0.1678344],"genre_scores_gemma":[0.09526065,0.06155292,0.2620594,0.001218053,0.004302028,0.0005579333,0.04297065,0.01038997,0.5216883],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05520311,"threshold_uncertainty_score":0.1846728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0547438058667187,"score_gpt":0.3132509578721893,"score_spread":0.2585071520054706,"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."}}