{"id":"W3088291244","doi":"10.1109/tro.2020.3021241","title":"SLAAM: Simultaneous Localization and Additive Manufacturing","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Robotics","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Odometry; Computer vision; Planar; Artificial intelligence; Scanner; Computer science; Point (geometry); Representation (politics); Object (grammar); Frame (networking); Computer graphics (images); Mathematics; Mobile robot; Geometry; Robot","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00001975647,0.0001704704,0.0001462667,0.00006376359,0.0001201151,0.00004558087,0.0000544093,0.00009874218,0.00004700492],"category_scores_gemma":[0.000006186272,0.0001865258,0.00004010486,0.0001357944,0.00003364399,0.00008202943,6.091078e-7,0.0001862942,0.0000440621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004272176,"about_ca_system_score_gemma":0.000007982349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003664275,"about_ca_topic_score_gemma":0.000008421711,"domain_scores_codex":[0.9992926,0.00001816817,0.0001880553,0.0001836324,0.0001400919,0.0001774126],"domain_scores_gemma":[0.9995934,0.0001035953,0.00001973644,0.0001051931,0.00003401107,0.0001440432],"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":[0.00001158751,0.00001690135,0.00000133796,0.00004339602,0.00002975073,0.00001329243,0.0002424409,0.9871325,0.000285771,0.00005565183,0.0001126669,0.01205466],"study_design_scores_gemma":[0.0002497562,0.00007452098,0.000004392484,0.00001994932,0.00004165634,0.000004872504,0.00006237118,0.9519504,0.04695899,0.00003493532,0.0004050422,0.0001930731],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001935958,0.00002699724,0.9967717,0.0002060336,0.0002830891,0.0001490442,0.00003349365,0.0003508955,0.000242807],"genre_scores_gemma":[0.9956113,0.000222138,0.003598591,0.0003981608,0.00006255176,0.000004262054,0.00001458176,0.00005082486,0.00003757545],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9936754,"threshold_uncertainty_score":0.7606303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01185175263421207,"score_gpt":0.1959021280471832,"score_spread":0.1840503754129711,"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."}}