{"id":"W4402031495","doi":"10.32920/26871370.v1","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":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Mixed reality; Computer science; Augmented reality; Virtual reality; Business; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003254336,0.000362376,0.000329937,0.0001529018,0.0002883694,0.0008307343,0.001936897,0.0002098411,0.00003748115],"category_scores_gemma":[0.0001072233,0.0002927082,0.0001406016,0.0006453428,0.0001672591,0.0002137874,0.004412203,0.0008405627,0.0001309517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002156434,"about_ca_system_score_gemma":0.0005066901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009585118,"about_ca_topic_score_gemma":0.0005533352,"domain_scores_codex":[0.996852,0.0001382304,0.0005284728,0.001417479,0.0006819752,0.0003818786],"domain_scores_gemma":[0.9963084,0.0002934225,0.0002414056,0.002644564,0.000307826,0.0002043156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001575162,0.0004818515,0.0002347351,0.0008745822,0.000479162,0.0000902945,0.03364623,0.03028698,0.0002412632,0.8465001,0.02923785,0.05791122],"study_design_scores_gemma":[0.0003642602,0.0001259037,0.00326458,0.00114522,0.0001893821,0.00007654413,0.003346656,0.8511542,0.00379941,0.0927773,0.04212011,0.001636407],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002186417,0.0001969644,0.8891326,0.01368299,0.0002707326,0.0009815722,0.00005309991,0.00127154,0.09222404],"genre_scores_gemma":[0.7869545,0.0001028976,0.1958551,0.000303425,0.0002355528,0.003515402,0.0001831838,0.00005949273,0.01279042],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8208672,"threshold_uncertainty_score":0.9999525,"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."}}