{"id":"W1998043530","doi":"10.1258/1357633001935437","title":"The Cave-let: A low-cost projective immersive display","year":2000,"lang":"en","type":"article","venue":"Journal of Telemedicine and Telecare","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; PID controller; Range (aeronautics); Visualization; Human–computer interaction; Artificial intelligence; Engineering; Aerospace engineering; Temperature control; Control engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003624977,0.0001028327,0.0001716107,0.0000667022,0.0002769764,0.00006082055,0.0005146762,0.0000376567,0.00002689157],"category_scores_gemma":[0.00005892075,0.00005757778,0.00006240421,0.000321201,0.0001183601,0.0002114843,0.00005182385,0.0002902398,0.00000849659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000507909,"about_ca_system_score_gemma":0.0001007342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003255092,"about_ca_topic_score_gemma":0.00002883626,"domain_scores_codex":[0.9989222,0.00005226986,0.0003462785,0.00014089,0.0003357702,0.0002025672],"domain_scores_gemma":[0.9989659,0.0001911362,0.0002247481,0.0002552702,0.0002410539,0.0001218445],"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":[0.00007430092,0.0001169141,0.0009746117,0.00002449657,0.0001905249,0.0001184592,0.01073505,0.00005337809,0.0004788714,0.003069973,0.05385069,0.9303128],"study_design_scores_gemma":[0.004253882,0.001485813,0.02674636,0.0004709309,0.0001906901,0.002939283,0.01232302,0.01058731,0.003015868,0.002683677,0.9347825,0.0005206779],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3376073,0.00573865,0.4308504,0.1997644,0.0009487171,0.00260934,0.00004220609,0.00008249911,0.02235646],"genre_scores_gemma":[0.9954221,0.001341235,0.0007725556,0.001463508,0.0003558564,0.00001783044,0.000001933898,0.000007971949,0.0006170137],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.929792,"threshold_uncertainty_score":0.2347954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006016805519910966,"score_gpt":0.2500419031887879,"score_spread":0.244025097668877,"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."}}