{"id":"W2998061460","doi":"10.1108/lht-08-2019-0166","title":"An environmental scan of virtual and augmented reality services in academic libraries","year":2020,"lang":"en","type":"article","venue":"Library Hi Tech","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; McGill University","funders":"","keywords":"Originality; Popularity; Staffing; Computer science; World Wide Web; Augmented reality; The Internet; Information technology; Software; Space (punctuation); Virtual reality; Multimedia; Sociology; Management; Human–computer interaction","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":[0.00332185,0.0002335379,0.0003499864,0.007551471,0.005640389,0.009699078,0.001045043,0.001034516,0.02388758],"category_scores_gemma":[0.01531062,0.000326931,0.0003654093,0.01955947,0.003854076,0.005268674,0.00495938,0.0009319636,0.002856704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005066554,"about_ca_system_score_gemma":0.005063077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01301737,"about_ca_topic_score_gemma":0.02016121,"domain_scores_codex":[0.9913887,0.004081927,0.0004701034,0.0004632874,0.002915152,0.0006808365],"domain_scores_gemma":[0.9748197,0.01348615,0.004826358,0.0009675604,0.004613161,0.001287077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008973877,0.0004076392,0.172479,0.006352133,0.00007630843,0.005766229,0.2598129,0.00100428,0.005032821,0.05765839,0.05786244,0.4326507],"study_design_scores_gemma":[0.00001491124,0.0002701023,0.1858583,0.001772052,0.00006061063,0.003302674,0.3624274,0.0003946656,0.003122777,0.001998397,0.4406563,0.0001218793],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.622384,0.009250417,0.001659378,0.01175064,0.000243625,0.0001412456,0.002560426,0.0005211465,0.3514891],"genre_scores_gemma":[0.9675089,0.006022105,0.001462941,0.001831949,0.0001651046,0.00006717491,0.0004559889,0.0001354586,0.02235031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02388758,"threshold_uncertainty_score":0.07991189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02192460495966682,"score_gpt":0.2534221230532465,"score_spread":0.2314975180935797,"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."}}