{"id":"W4249482839","doi":"10.32920/ryerson.14652168.v1","title":"Increasing Perceived Value In Physical Environments Through The Implementation Of Augmented Reality","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Consumer Retail Behavior Studies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Augmented reality; Inclusion (mineral); Value (mathematics); Virtual reality; Space (punctuation); Key (lock); Overlay; Process (computing); Computer science; Revenue; Human–computer interaction; Business; Knowledge management; Psychology; Process management; Social psychology","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":[0.0004004397,0.0002865398,0.0004589286,0.00008412182,0.0001114416,0.0001577947,0.0003118622,0.00007742485,0.0002754347],"category_scores_gemma":[0.00004593085,0.0002233548,0.0001805123,0.0002041302,0.000118604,0.0003691015,0.002021457,0.000334402,0.00001401249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001328377,"about_ca_system_score_gemma":0.00003483889,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09677505,"about_ca_topic_score_gemma":0.00422016,"domain_scores_codex":[0.9982538,0.0001026406,0.0004924416,0.0004739248,0.000433851,0.0002433286],"domain_scores_gemma":[0.9989477,0.00007410991,0.0004063154,0.0005157652,0.00005131156,0.000004801511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002691867,0.000281242,0.9800154,0.0002727466,0.0001619864,0.000009454873,0.001724666,0.00006865428,0.00369062,0.001117618,0.00005038572,0.01258034],"study_design_scores_gemma":[0.0004607852,0.000002436918,0.9881805,0.0001164423,0.0002911959,6.309942e-7,0.009087614,0.0005958181,0.0001209709,0.0003912045,0.000532084,0.0002202995],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952506,0.0000808509,0.0001136136,0.0007980427,0.0001758676,0.0006769229,0.000009236785,0.00003271158,0.002862172],"genre_scores_gemma":[0.9992317,0.00005364607,0.0001435914,0.0001114271,0.0000997533,0.00008965058,0.0002052582,0.00002458348,0.00004038176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09255489,"threshold_uncertainty_score":0.9108145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04747967091212191,"score_gpt":0.3224640132776272,"score_spread":0.2749843423655053,"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."}}