{"id":"W2095103413","doi":"10.1002/rob.21403","title":"Three‐dimensional SLAM for mapping planetary work site environments","year":2012,"lang":"en","type":"article","venue":"Journal of Field Robotics","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Space Agency; University of Toronto","funders":"","keywords":"Odometry; Simultaneous localization and mapping; Robustness (evolution); Computer science; Outlier; Artificial intelligence; Feature (linguistics); Terrain; Computer vision; Remote sensing; Geography; Robot; Cartography; Mobile robot","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":[0.0006035828,0.0006639516,0.0006771355,0.001075765,0.0004300874,0.0006881268,0.001018862,0.0004783584,0.00145302],"category_scores_gemma":[0.001608101,0.0003655978,0.0006235086,0.001089662,0.0005161591,0.0006958065,0.001459406,0.0007447592,0.0008081036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003299309,"about_ca_system_score_gemma":0.000806152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004946178,"about_ca_topic_score_gemma":0.004570863,"domain_scores_codex":[0.9994479,0.0001379267,0.00002304166,0.0000964042,0.0002357525,0.00005896685],"domain_scores_gemma":[0.9994894,0.0001041954,0.0000883404,0.0001734044,0.0001161738,0.00002854769],"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":[0.0001400066,0.00006685241,0.002295082,0.0001260926,0.0001095852,0.0001388664,0.0001341438,0.6433115,0.02569834,0.008711975,0.004046766,0.3152208],"study_design_scores_gemma":[0.00001398273,0.00004276528,0.001113472,0.000009208466,0.000008493435,0.00004364578,0.0000271521,0.9890183,0.00377832,0.003028106,0.002900078,0.00001637376],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008441729,0.00008126042,0.9896116,0.00002818752,0.00002581661,0.00002042518,0.00009879236,0.001230661,0.0004615986],"genre_scores_gemma":[0.5101995,0.0001416342,0.4877857,0.00003949624,0.00003789918,0.0001304658,0.000557125,0.0001416841,0.0009664362],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004946178,"threshold_uncertainty_score":0.009834766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01739950827306716,"score_gpt":0.200300548313935,"score_spread":0.1829010400408679,"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."}}