{"id":"W4247166459","doi":"10.32920/ryerson.14651973.v1","title":"Augmented reality in greeting cards","year":2021,"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; Bishop's University","funders":"","keywords":"Interactivity; Augmented reality; Computer science; Variety (cybernetics); Upload; Product (mathematics); Human–computer interaction; Multimedia; Component (thermodynamics); World Wide Web; Element (criminal law); Internet privacy; Artificial intelligence","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":[0.0008724104,0.0007844652,0.0004504435,0.0007699112,0.000643704,0.005507615,0.001260279,0.001904482,0.01636541],"category_scores_gemma":[0.003024274,0.0005031737,0.0005926693,0.0007921039,0.001757684,0.00349829,0.003185249,0.001692202,0.004067828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005383955,"about_ca_system_score_gemma":0.0002352879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008125175,"about_ca_topic_score_gemma":0.0007974021,"domain_scores_codex":[0.9985507,0.0006232751,0.00004732643,0.0001612562,0.0004443809,0.0001730439],"domain_scores_gemma":[0.9987813,0.0005028542,0.00007423635,0.0004102265,0.0001486645,0.00008273374],"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":[0.001215262,0.0002592566,0.002425293,0.001063226,0.00009123329,0.003196623,0.009517387,0.02090751,0.04182992,0.402376,0.0444697,0.4726487],"study_design_scores_gemma":[0.0001734746,0.0006770839,0.005200497,0.0006856069,0.0001051439,0.006705598,0.004916426,0.04063159,0.04520383,0.08034021,0.8149899,0.0003707616],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.1154071,0.007249602,0.5393534,0.003393876,0.001771676,0.0003226744,0.0005454627,0.005073622,0.3268825],"genre_scores_gemma":[0.7294438,0.003975511,0.155029,0.0008409272,0.000358212,0.0002112125,0.0005291856,0.0004451887,0.109167],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01636541,"threshold_uncertainty_score":0.05474776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04284450007936905,"score_gpt":0.3119185990064252,"score_spread":0.2690740989270561,"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."}}