{"id":"W2117064099","doi":"10.1109/crv.2011.13","title":"Fourier Tag: A Smoothly Degradable Fiducial Marker System with Configurable Payload Capacity","year":2011,"lang":"en","type":"article","venue":"","topic":"Image and Object Detection Techniques","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Fiducial marker; Payload (computing); Computer science; Encoding (memory); Artificial intelligence; Computer vision; Pattern recognition (psychology)","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":[0.0003649952,0.000190607,0.0002074196,0.000120285,0.0002129445,0.0001570514,0.0005712952,0.00009056168,0.0002264767],"category_scores_gemma":[0.00001703033,0.0001343933,0.00006587485,0.0003714004,0.00006798075,0.0007414155,0.00007724821,0.0001631746,0.0001243179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007631141,"about_ca_system_score_gemma":0.00008308341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003097574,"about_ca_topic_score_gemma":0.0002090255,"domain_scores_codex":[0.998619,0.00007761257,0.0002143447,0.0004151686,0.0002876128,0.000386256],"domain_scores_gemma":[0.9988416,0.00002532547,0.00009085996,0.0006895646,0.0002395648,0.0001130772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008725686,0.001226148,0.006066506,0.000802457,0.0006857503,0.001392447,0.01097903,0.000007686685,0.01128799,0.4798299,0.145452,0.3413976],"study_design_scores_gemma":[0.0006203695,0.0005378381,0.001973972,0.00008413761,0.00002162121,0.0002967675,0.0002905685,0.005417961,0.9726888,0.001373563,0.01604937,0.0006450143],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004080881,0.00001892381,0.7322555,0.00005988693,0.0001888181,0.0002233911,0.000001643948,0.001088709,0.2620823],"genre_scores_gemma":[0.824618,0.000002169441,0.1686297,0.0004875998,0.00005581794,0.00007032479,4.984371e-7,0.00001639711,0.006119529],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9614008,"threshold_uncertainty_score":0.5480402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02190827437266102,"score_gpt":0.1841665275848615,"score_spread":0.1622582532122004,"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."}}