{"id":"W4297123695","doi":"10.32920/ryerson.14663097","title":"DirectAR: Marketing an Educative AR Experience in 2019","year":2022,"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":"Videography; Product (mathematics); Marketing; Advertising; Business; Public relations; Political science","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":[0.00319167,0.0005326031,0.000356832,0.001106061,0.002115424,0.00697748,0.0005400039,0.001670004,0.07324319],"category_scores_gemma":[0.00446028,0.0002672144,0.0004358667,0.000919622,0.001140768,0.004216655,0.002200576,0.001774614,0.02288698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00200193,"about_ca_system_score_gemma":0.0008551601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002528149,"about_ca_topic_score_gemma":0.006056942,"domain_scores_codex":[0.9975738,0.0008148033,0.0001052304,0.0003081247,0.0008564363,0.0003415405],"domain_scores_gemma":[0.9970463,0.001390022,0.0001609528,0.0002830691,0.0004951716,0.0006245096],"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":[0.0009700946,0.002715714,0.01055415,0.000720843,0.00004511473,0.002152424,0.0335476,0.0005565491,0.01017078,0.06218916,0.2496397,0.626738],"study_design_scores_gemma":[0.00003248703,0.0006710679,0.00625561,0.0001161927,0.00001409732,0.001087812,0.008792546,0.0003677301,0.002673081,0.001053092,0.9788955,0.00004079421],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1907381,0.003620423,0.01070765,0.01030477,0.002310987,0.0004413521,0.001762969,0.002108241,0.7780054],"genre_scores_gemma":[0.2942736,0.002464167,0.009285973,0.002537638,0.0008310782,0.0001524488,0.001191517,0.0007296997,0.6885338],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07324319,"threshold_uncertainty_score":0.2450229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03962616561623621,"score_gpt":0.348483739722671,"score_spread":0.3088575741064348,"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."}}