{"id":"W4378175668","doi":"10.32920/23159870.v1","title":"Tangible Experience Design Toolkit: Simplifying Cross Device Interaction Design","year":2023,"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":"Computer science; Human–computer interaction; Popularity; Narrative; Order (exchange); Multimedia; Psychology","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":[0.003428279,0.001408498,0.0006485902,0.001073697,0.0008657285,0.004504391,0.002533537,0.001160994,0.02435027],"category_scores_gemma":[0.01321157,0.001145473,0.001442935,0.0005754689,0.001909602,0.003803293,0.008210955,0.002543583,0.006166414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006098412,"about_ca_system_score_gemma":0.001756792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001451783,"about_ca_topic_score_gemma":0.002553288,"domain_scores_codex":[0.995826,0.001744251,0.0004934316,0.0003889298,0.00128954,0.0002577926],"domain_scores_gemma":[0.9947472,0.002262195,0.0001792959,0.001503216,0.0009308605,0.000377163],"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":[0.0005137549,0.0003670584,0.001832621,0.003765568,0.0001745992,0.002893814,0.02649531,0.02211721,0.07165786,0.18201,0.04617285,0.6419994],"study_design_scores_gemma":[0.0003034282,0.0006216741,0.001505034,0.0009187423,0.0001700149,0.002290889,0.003573396,0.0639471,0.03342148,0.04444956,0.8485322,0.0002663932],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003804843,0.0001863866,0.9812195,0.0001916694,0.0001200819,0.0003808964,0.0001563021,0.004598564,0.009341878],"genre_scores_gemma":[0.05330997,0.0003873509,0.9269979,0.0001474972,0.00002166463,0.001324388,0.0005145351,0.002588129,0.01470858],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02435027,"threshold_uncertainty_score":0.08145982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2989360898420906,"score_gpt":0.4191204161646022,"score_spread":0.1201843263225115,"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."}}