{"id":"W7001277834","doi":"","title":"The Investigation of Augmented Reality Marketing Tool Creation and Adaptability in Retail","year":2024,"lang":"en","type":"dissertation","venue":"OCAD University Open Research Repository (OCAD University)","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario College of Art and Design","funders":"","keywords":"Augmented reality; Adaptability; Key (lock); Focus (optics); Power (physics); Consumer research; Marketing research; Work (physics)","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":[0.002458669,0.0003167566,0.0002429461,0.0008918602,0.0006888926,0.004152267,0.0006188249,0.0008703633,0.00405986],"category_scores_gemma":[0.008186369,0.0003104039,0.0004000621,0.0005777491,0.002292914,0.003338938,0.001871228,0.0005547416,0.0003755093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005757957,"about_ca_system_score_gemma":0.0004806716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005112425,"about_ca_topic_score_gemma":0.0005738378,"domain_scores_codex":[0.9979184,0.001128856,0.00009652786,0.0002242521,0.0004775352,0.0001544757],"domain_scores_gemma":[0.9933543,0.005077402,0.0005502797,0.0004978057,0.0003691645,0.0001510947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001249698,0.001793322,0.07490297,0.001864633,0.0001152949,0.003479042,0.1882554,0.005836514,0.08713324,0.1324054,0.001880552,0.5010839],"study_design_scores_gemma":[0.000229518,0.009142935,0.3794723,0.001624111,0.0004169852,0.01386356,0.2024578,0.04435175,0.08906388,0.04958126,0.2093497,0.0004461811],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9198923,0.0005319286,0.02597833,0.0004456858,0.00004172952,0.0002467089,0.0000298315,0.00008808262,0.05274538],"genre_scores_gemma":[0.9873931,0.0002430957,0.008813366,0.00004555083,0.00001166413,0.00006874167,0.00001292594,0.00001280787,0.003398807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004152267,"threshold_uncertainty_score":0.01358157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05520997024813748,"score_gpt":0.3102413187336303,"score_spread":0.2550313484854928,"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."}}