{"id":"W2625849400","doi":"","title":"The development of a relative point and a relative plane slam algorithms","year":2011,"lang":"en","type":"article","venue":"","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Algorithm; Odometry; Simultaneous localization and mapping; Position (finance); Current (fluid); Computation; Variable (mathematics); Kalman filter; Mathematics; Probabilistic logic; Rotation (mathematics); Point (geometry); Computer science; Artificial intelligence; Mobile robot; Robot; Geometry","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":[0.0001078301,0.00007312793,0.00008014118,0.00002737684,0.00006140166,0.000006417778,0.00003667005,0.00004055629,0.00002380482],"category_scores_gemma":[0.00001916503,0.00004850642,0.00001322854,0.00006432091,0.00003346286,0.00008128166,0.00001443339,0.00006445502,0.000008059389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002086741,"about_ca_system_score_gemma":0.00001204888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001187809,"about_ca_topic_score_gemma":0.0000391595,"domain_scores_codex":[0.9995615,0.00001311975,0.0001848575,0.00007072658,0.00007409367,0.00009569847],"domain_scores_gemma":[0.9997622,0.00007018213,0.00002562823,0.00007734522,0.00003475108,0.000029903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001335215,0.0001655533,0.003216337,0.0001876287,0.001319031,0.00002199556,0.1432202,0.02559825,0.003324341,0.7347736,0.001261674,0.08677781],"study_design_scores_gemma":[0.001563053,0.0002901444,0.03112367,0.0001720149,0.00008412387,0.00001518412,0.003514236,0.8556917,0.07280552,0.02925635,0.00470447,0.0007794896],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0300838,0.0001744171,0.920747,0.0000449984,0.00009863063,0.0001758843,0.000002142849,0.00007733436,0.04859583],"genre_scores_gemma":[0.8954406,0.00004492105,0.1038591,0.000009800199,0.000009335445,0.00000618621,0.000005729503,0.00001555589,0.000608766],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8653568,"threshold_uncertainty_score":0.1978035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02105814849596597,"score_gpt":0.1971617291647907,"score_spread":0.1761035806688247,"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."}}