{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008986458,0.00116655,0.0006145554,0.0008329446,0.0007001053,0.002342763,0.001138342,0.001411504,0.05861609],"category_scores_gemma":[0.005484135,0.0003391215,0.0004788671,0.0006174654,0.0003162858,0.001589565,0.001941173,0.0006801828,0.01802603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003422116,"about_ca_system_score_gemma":0.0005072266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007405201,"about_ca_topic_score_gemma":0.0007141117,"domain_scores_codex":[0.9988865,0.0002652728,0.00006952274,0.0002088725,0.0004263758,0.0001433336],"domain_scores_gemma":[0.9981921,0.0006132636,0.0001216612,0.0002945697,0.0004369951,0.0003415039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002906922,0.0005585164,0.00256442,0.001650349,0.00007754232,0.003167411,0.00575372,0.00246833,0.1992685,0.0150326,0.1067887,0.6597629],"study_design_scores_gemma":[0.0003942775,0.001229071,0.007217982,0.000259381,0.0001481966,0.005672696,0.001322294,0.02442395,0.08521225,0.004866835,0.8689959,0.0002571442],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1580062,0.002610759,0.5891994,0.002410202,0.002412182,0.001276402,0.001787946,0.05525029,0.1870466],"genre_scores_gemma":[0.5576655,0.001584361,0.1980242,0.0009981821,0.0009645615,0.0008162296,0.001578269,0.004282899,0.2340859],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05861609,"threshold_uncertainty_score":0.1960903,"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."}}