{"id":"W4402031624","doi":"10.32920/26871370","title":"Creating a Mixed Reality Retail Experience With Present Hardware Limitations","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Mixed reality; Computer science; Business; Virtual reality; Human–computer interaction; 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":[0.001219163,0.0005394788,0.0003902538,0.0004125108,0.001003186,0.007934683,0.001198744,0.001391063,0.01910959],"category_scores_gemma":[0.00309111,0.0006677621,0.0007657128,0.0003031913,0.001470841,0.004748755,0.004686889,0.0009320954,0.003362348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004357439,"about_ca_system_score_gemma":0.0003959511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000484743,"about_ca_topic_score_gemma":0.000923937,"domain_scores_codex":[0.9987835,0.0004876233,0.00005132008,0.0001729018,0.0003650859,0.0001395933],"domain_scores_gemma":[0.9988673,0.0005817837,0.00007001189,0.0002545816,0.0001250622,0.0001012982],"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":[0.001514947,0.0007834781,0.006494664,0.002507949,0.0002249893,0.006207337,0.1127935,0.008185066,0.186343,0.1632952,0.0183378,0.4933121],"study_design_scores_gemma":[0.0003464333,0.003656117,0.01954297,0.001285299,0.0006668319,0.02028552,0.08778515,0.0462073,0.0928046,0.05375171,0.6730219,0.0006461954],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.4310017,0.002225748,0.3800703,0.003277346,0.000524951,0.0002626279,0.0002174987,0.001669753,0.1807501],"genre_scores_gemma":[0.858967,0.0009015662,0.1068177,0.0005905414,0.00008142204,0.0002271249,0.0001273504,0.0002414151,0.0320458],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01910959,"threshold_uncertainty_score":0.06392789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.107097388642669,"score_gpt":0.3190850260859202,"score_spread":0.2119876374432512,"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."}}