{"id":"W2048212480","doi":"10.1145/2512349.2512351","title":"Interactive surfaces for interaction with stereoscopic 3d (ISIS3D)","year":2013,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Stereoscopy; Computer science; 3D interaction; Human–computer interaction; Multi-touch; Computer graphics (images); Mobile device; Graphics; Virtual reality; Multimedia; Computer vision; World Wide Web","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":[],"consensus_categories":[],"category_scores_codex":[0.00005019989,0.0001149765,0.0001054056,0.00008181314,0.00008458017,0.0002290823,0.0003042411,0.00002123944,0.0002917083],"category_scores_gemma":[0.00001935091,0.00008141028,0.00004288264,0.0001317352,0.00002207032,0.003097349,0.00006741517,0.00007604607,0.0003363673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004341938,"about_ca_system_score_gemma":0.00001961504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001813073,"about_ca_topic_score_gemma":0.00002187306,"domain_scores_codex":[0.9992566,0.00002764502,0.0001262311,0.0002750578,0.0000980094,0.0002164229],"domain_scores_gemma":[0.9991809,0.0001779585,0.00007158509,0.0002242692,0.0002906515,0.00005463565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009699545,0.001545526,0.03193403,0.0001441443,0.001162521,0.00002113492,0.02114963,0.000505138,0.4973801,0.2578955,0.04237473,0.1449175],"study_design_scores_gemma":[0.003236558,0.003471476,0.1453933,0.000206767,0.00004126236,0.00009684548,0.01064933,0.2052769,0.6129184,0.0039942,0.01355353,0.001161408],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2935188,0.000007540155,0.6872081,0.0009704417,0.0003494769,0.0003455612,9.025115e-7,0.00003232831,0.01756694],"genre_scores_gemma":[0.9671369,0.000001150672,0.0306819,0.0008545081,0.00002725657,0.00007698246,0.000001777424,0.000006556488,0.001212955],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6736181,"threshold_uncertainty_score":0.4323433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01259944909254052,"score_gpt":0.2599402532681476,"score_spread":0.2473408041756071,"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."}}