{"id":"W4378214458","doi":"10.32920/23159870","title":"Tangible Experience Design Toolkit: Simplifying Cross Device Interaction Design","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Interactive and Immersive Displays","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006907983,0.000523678,0.0004265107,0.0003649519,0.0003470583,0.001479522,0.002482615,0.0003127385,0.0001660938],"category_scores_gemma":[0.0003229564,0.0005024801,0.0002636953,0.0005038843,0.00007046542,0.001933073,0.002692895,0.0008640159,0.001621464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003536334,"about_ca_system_score_gemma":0.000279006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003477257,"about_ca_topic_score_gemma":0.000008196549,"domain_scores_codex":[0.996443,0.0003396138,0.0005842399,0.001429072,0.0004973136,0.0007068127],"domain_scores_gemma":[0.9967512,0.0009160514,0.0003722052,0.001276402,0.0005280868,0.0001559976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000807848,0.0008822221,0.002445952,0.0009577384,0.001198716,0.001078948,0.06235048,0.5267348,0.2373524,0.04612004,0.1023676,0.01770329],"study_design_scores_gemma":[0.0005271083,0.0002846706,0.003917631,0.0007288582,0.00004009349,0.00008295912,0.002196699,0.4660387,0.5111925,0.008523601,0.004455591,0.002011523],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002905378,0.00006250713,0.9883839,0.0003251797,0.004345184,0.0007223382,0.000006018136,0.0003247299,0.002924698],"genre_scores_gemma":[0.8167735,0.00008593579,0.1717157,0.001697827,0.0003474535,0.0006045342,0.00003288971,0.00009588072,0.008646259],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8166683,"threshold_uncertainty_score":0.9997427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2324004468756762,"score_gpt":0.4046323429772681,"score_spread":0.172231896101592,"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."}}