{"id":"W13600356","doi":"10.1038/1821442a0","title":"IVY: The Immersive Visual environment at York","year":2001,"lang":"en","type":"article","venue":"Nature","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer science; Immersive technology; Human–computer interaction; Virtual reality; Computer graphics (images)","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.0005405361,0.0006607245,0.0003646271,0.0005129019,0.0008692357,0.001713721,0.0009216267,0.00057072,0.04026799],"category_scores_gemma":[0.0008039331,0.0004950018,0.0002493171,0.0003456685,0.001110753,0.001961705,0.003626005,0.001436886,0.006531192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000811013,"about_ca_system_score_gemma":0.001171122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006333007,"about_ca_topic_score_gemma":0.01535298,"domain_scores_codex":[0.9996336,0.00005054068,0.00001077925,0.00007394646,0.0001425872,0.00008855255],"domain_scores_gemma":[0.9996217,0.00006488596,0.00002026057,0.00005891359,0.0000612979,0.0001728727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008849727,0.0001301926,0.002611688,0.0007290125,0.00003290387,0.001020334,0.005833138,0.001658076,0.1595455,0.2354271,0.229154,0.3629731],"study_design_scores_gemma":[0.0001041588,0.0001582785,0.001494691,0.0001228222,0.0000149669,0.0005600152,0.0003641232,0.00349739,0.01074736,0.007129991,0.9757471,0.00005921693],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05787586,0.005783916,0.5703844,0.002643325,0.00141623,0.001055787,0.003912601,0.02526906,0.3316588],"genre_scores_gemma":[0.2612161,0.004959234,0.3335714,0.0005152373,0.0003740574,0.001576282,0.005021524,0.005101229,0.3876649],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04026799,"threshold_uncertainty_score":0.1347098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008137386135256256,"score_gpt":0.2505637795430691,"score_spread":0.2424263934078128,"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."}}