{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.002508645,0.0003709426,0.0004136521,0.02656138,0.0007325418,0.002719804,0.0006690561,0.0006435648,0.004649384],"category_scores_gemma":[0.01065979,0.0001561511,0.0008068898,0.02688559,0.0004944222,0.00233109,0.0007360994,0.0005073456,0.00135375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001502092,"about_ca_system_score_gemma":0.002612857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007420259,"about_ca_topic_score_gemma":0.005364873,"domain_scores_codex":[0.996707,0.000172389,0.0003143043,0.0002939834,0.002212196,0.000300082],"domain_scores_gemma":[0.9863098,0.007119443,0.002390601,0.0005363968,0.003310873,0.0003328919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004820964,0.0004903589,0.2159472,0.002699939,0.000231848,0.003251683,0.00105363,0.006149998,0.01051785,0.02355627,0.05107278,0.6845464],"study_design_scores_gemma":[0.00006392653,0.0007893184,0.5902334,0.001302408,0.0006604326,0.004628577,0.003040012,0.02947401,0.02323124,0.008247885,0.3381043,0.0002244281],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7951918,0.019424,0.01755238,0.00268511,0.0002091553,0.001227365,0.07975719,0.0006825606,0.08327044],"genre_scores_gemma":[0.9058909,0.01671288,0.02147255,0.0002907458,0.0002470787,0.0005405543,0.04346,0.0001286955,0.01125655],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9734386,"threshold_uncertainty_score":0.01555371,"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."}}