{"id":"W2014180023","doi":"10.1145/1920778.1920805","title":"Raptor","year":2010,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Human–computer interaction; Wizard; Wizard of oz; Gesture; Game design; Multimedia; Process (computing); Simple (philosophy); Ideation; Table (database); Computer graphics (images); World Wide Web; Artificial intelligence; Operating system","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":[0.0000307101,0.00002786256,0.00002416427,0.00002038805,0.00002718283,0.00003372203,0.0002857964,0.00001336199,0.0003929545],"category_scores_gemma":[0.00001220966,0.00002128432,0.00002208171,0.00004933832,0.000008437145,0.0002873049,0.00005318676,0.00007285763,0.000859648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001650541,"about_ca_system_score_gemma":0.000009378859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000842163,"about_ca_topic_score_gemma":0.000004480809,"domain_scores_codex":[0.9997578,0.000003551579,0.00003079464,0.0000882166,0.00004458995,0.00007501547],"domain_scores_gemma":[0.9997346,0.00001665986,0.000008571205,0.000178522,0.00003625837,0.00002538329],"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":[4.709169e-7,0.00001023153,0.0001778885,2.196175e-7,0.000001963333,0.000001401058,0.0000664411,3.886421e-8,0.5283185,0.4602603,0.009681207,0.001481381],"study_design_scores_gemma":[0.0001569371,0.00004090594,0.02370841,0.000001130063,9.820225e-7,0.00001695871,0.00003294749,0.003180587,0.8091961,0.002893688,0.1606327,0.0001386442],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07054964,0.000002211745,0.5331506,0.001332829,0.001413813,0.00003394108,2.475845e-7,0.00002777168,0.393489],"genre_scores_gemma":[0.9849495,2.318336e-7,0.01080801,0.001237817,0.00004170563,0.000001433097,2.279601e-7,0.000001209308,0.002959886],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9143999,"threshold_uncertainty_score":0.9999183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004021179613498771,"score_gpt":0.2280801449936456,"score_spread":0.2240589653801469,"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."}}