{"id":"W2132552050","doi":"10.1145/1979742.1979941","title":"WaveForm","year":2011,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Waveform; Computer science; Gesture; Set (abstract data type); Position (finance); Event (particle physics); Computer graphics (images); Layer (electronics); Computer vision; Artificial intelligence; Telecommunications; Physics","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":[0.0004573007,0.0005946156,0.0003483308,0.0006159349,0.0005447016,0.002011292,0.001336645,0.0007972426,0.06358735],"category_scores_gemma":[0.002112298,0.0003346571,0.0003595285,0.000590738,0.0002913223,0.0024156,0.001689381,0.0009429766,0.03005905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002069652,"about_ca_system_score_gemma":0.0005231276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009046088,"about_ca_topic_score_gemma":0.001028153,"domain_scores_codex":[0.9993813,0.00006069223,0.00004132382,0.00009972028,0.0003551293,0.00006175721],"domain_scores_gemma":[0.9992305,0.00009739269,0.00003114428,0.0001753657,0.0003458213,0.0001198581],"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":[0.0006951399,0.000149272,0.001047267,0.0008928169,0.000043489,0.000479392,0.0005102846,0.001642305,0.08925902,0.0274075,0.1877813,0.6900923],"study_design_scores_gemma":[0.00007806041,0.0003059379,0.0008670944,0.00008528636,0.00004775161,0.001130195,0.0001135186,0.01979268,0.04350372,0.005229164,0.9287692,0.00007741121],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01557978,0.001432467,0.7500588,0.001232448,0.002356794,0.0004691977,0.003671773,0.0563514,0.1688472],"genre_scores_gemma":[0.1804275,0.004142014,0.4386566,0.002091719,0.001390523,0.0008062694,0.02307784,0.01374564,0.3356619],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06358735,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03773916296327491,"score_gpt":0.216773780508737,"score_spread":0.1790346175454621,"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."}}