{"id":"W4407885445","doi":"10.3390/engproc2025089009","title":"CAVE Automatic Virtual Environment Technology: A Patent Analysis","year":2025,"lang":"en","type":"article","venue":"","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; École de Technologie Supérieure","funders":"Ministère de l'Économie, de l’Innovation et des Exportations du Québec","keywords":"Patent analysis; Computer science; Cave; Data science; Geography; Archaeology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001154934,0.00008446457,0.000139064,0.0004985229,0.0001025376,0.00004373761,0.0007133562,0.00006250511,0.00007683586],"category_scores_gemma":[0.000008778122,0.00007290416,0.00007628704,0.001941234,0.00006246811,0.00007102737,0.0004374509,0.00007775931,0.0002022867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001162605,"about_ca_system_score_gemma":0.0000286074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003293524,"about_ca_topic_score_gemma":0.00001270535,"domain_scores_codex":[0.9991438,0.00002226088,0.0002012417,0.0003229672,0.00014888,0.000160805],"domain_scores_gemma":[0.9989334,0.00003515238,0.00004758946,0.000933885,0.00001378298,0.00003618394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[3.066859e-7,0.0001866253,0.002019225,0.000004411113,0.0006126997,0.000002768274,0.0001191045,0.004452831,0.0004248044,0.8893081,0.001078806,0.1017903],"study_design_scores_gemma":[0.0001567827,0.00002609033,0.007246408,0.000005285382,0.0001963016,0.000001272769,0.0001428709,0.9725697,0.002163427,0.01325066,0.004108295,0.0001328741],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005112766,0.00002499816,0.9808897,0.009403394,0.00002403044,0.0001712654,0.000001683443,0.0004228895,0.003949293],"genre_scores_gemma":[0.9616709,0.00001313585,0.03457739,0.0004556664,0.000002641257,0.0001431308,0.000004498637,0.000002234088,0.003130421],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9681169,"threshold_uncertainty_score":0.2972945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01169365723051524,"score_gpt":0.2311208090603907,"score_spread":0.2194271518298754,"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."}}