{"id":"W2052721370","doi":"10.1109/have.2007.4371584","title":"Presentation Assistant and Kiosk Interaction with Fiducial Markers","year":2007,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Interactive kiosk; Fiducial marker; Laptop; Computer science; Presentation (obstetrics); Software; Client; Artificial intelligence; Simple (philosophy); Schedule; Pixel; Computer vision; Computer hardware; Operating system; Server","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":[0.0001295015,0.00006246988,0.00004940167,0.00007086059,0.00006358353,0.00008065475,0.00009461494,0.00001831441,0.00003900941],"category_scores_gemma":[0.00001574054,0.00004691232,0.00001339459,0.0001382329,0.00002022609,0.0008392747,0.00004066301,0.00006270119,0.00001685244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003167702,"about_ca_system_score_gemma":0.00001529485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008474911,"about_ca_topic_score_gemma":0.00009255489,"domain_scores_codex":[0.9994742,0.00001686005,0.00008556015,0.00017858,0.0001166148,0.0001281623],"domain_scores_gemma":[0.9996396,0.00007189583,0.00004432875,0.0001030215,0.0001002218,0.0000408883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003836073,0.0006071902,0.05222037,0.0000800124,0.0004369753,0.0003059317,0.01355866,0.00004827679,0.4102615,0.2793325,0.04954932,0.1897632],"study_design_scores_gemma":[0.001033464,0.0006858467,0.8067002,0.00004818,0.00001881974,0.0001238466,0.003407515,0.007780223,0.1680769,0.0003804153,0.01136502,0.0003795052],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1771993,0.000005962999,0.761762,0.0004545116,0.0002592033,0.00008678023,4.115071e-7,0.000015759,0.06021608],"genre_scores_gemma":[0.9936063,0.000002096973,0.005220392,0.0004127323,0.00003738355,0.000001927938,0.000002233032,0.000003013074,0.0007139074],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.816407,"threshold_uncertainty_score":0.1913029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00860853782082221,"score_gpt":0.2683138167018906,"score_spread":0.2597052788810684,"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."}}