{"id":"W2187333891","doi":"","title":"Fiducial Planning for Error-Bounded Pose Estimation of a Panoramic Camera in Large Environments","year":2004,"lang":"en","type":"article","venue":"","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bell (Canada)","funders":"","keywords":"Computer vision; Artificial intelligence; Computer science; Fiducial marker; Pose; Bounded function; Image (mathematics); Field of view; Mathematics","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":[0.001158642,0.0008881387,0.000851293,0.0005115367,0.0006787521,0.0006451181,0.001230842,0.0008877478,0.001260962],"category_scores_gemma":[0.006802513,0.0009339805,0.0005028582,0.0006894962,0.001197929,0.001762139,0.001652251,0.001090634,0.0003287858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006620343,"about_ca_system_score_gemma":0.0009415648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004213362,"about_ca_topic_score_gemma":0.006078856,"domain_scores_codex":[0.9991155,0.0002748205,0.00005061927,0.0001901356,0.0003068214,0.00006212766],"domain_scores_gemma":[0.9987864,0.0005710658,0.0001765149,0.0002832244,0.0001320526,0.00005072315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003336866,0.00004974821,0.0007225428,0.0001923273,0.00005183534,0.0001651886,0.0002923305,0.7133597,0.02310051,0.02254922,0.001536576,0.2376464],"study_design_scores_gemma":[0.00002182523,0.00007972205,0.0003634396,0.00001795171,0.00001379478,0.0001206346,0.00003757176,0.9700163,0.01467371,0.01267372,0.00195938,0.00002197204],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004748729,0.00008757511,0.994595,0.00002662853,0.000007476867,0.00001332551,0.000008923855,0.0001838599,0.0003285923],"genre_scores_gemma":[0.3093654,0.0001802641,0.6889927,0.00004530959,0.0000157068,0.00009202591,0.00007056734,0.0001157581,0.001122251],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004213362,"threshold_uncertainty_score":0.008377671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01252044986484197,"score_gpt":0.245134357583262,"score_spread":0.23261390771842,"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."}}