{"id":"W2068506577","doi":"10.1145/1935701.1935765","title":"Cloth displays","year":2010,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Computer graphics (images)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005107211,0.00005529632,0.00004616719,0.00003343448,0.00005408702,0.0000628897,0.0004637771,0.00002469437,0.0003300111],"category_scores_gemma":[0.0000192405,0.00004243784,0.00003865019,0.00008840921,0.0000176293,0.0004599467,0.0001037999,0.0001345042,0.0009784468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003721767,"about_ca_system_score_gemma":0.00001551087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002934106,"about_ca_topic_score_gemma":0.00001909196,"domain_scores_codex":[0.9995558,0.000006915017,0.00005855758,0.0001579613,0.0000806379,0.0001400807],"domain_scores_gemma":[0.9995574,0.00003219245,0.00001760447,0.0002958633,0.00004881732,0.00004809907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00000110683,0.00002254668,0.0006134073,6.505858e-7,0.000003769167,0.00000407135,0.0001052541,2.103118e-7,0.3232303,0.6622289,0.01267443,0.001115334],"study_design_scores_gemma":[0.0004277129,0.0001218062,0.1040813,0.000005297436,0.000004654616,0.00007203779,0.00008527258,0.01260997,0.6341949,0.008138186,0.2398167,0.0004421329],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0621901,0.000004442255,0.5327397,0.001161142,0.00141219,0.00005347709,8.448343e-7,0.00003897522,0.4023991],"genre_scores_gemma":[0.9870996,7.57122e-7,0.008516424,0.001307391,0.00006135663,0.00000304289,8.227741e-7,0.000002906837,0.003007671],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9249095,"threshold_uncertainty_score":0.9997994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003804550797421516,"score_gpt":0.2290468633893311,"score_spread":0.2252423125919096,"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."}}