{"id":"W1518099767","doi":"10.5772/6993","title":"General Concept of 3D SLAM","year":2009,"lang":"en","type":"book-chapter","venue":"InTech eBooks","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Landmark; Simultaneous localization and mapping; Mobile robot; Section (typography); Computer vision; Artificial intelligence; Process (computing); Robot; Feature (linguistics); Computer science; Data association; Dead reckoning; Global Positioning System; Telecommunications","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":[0.0005926212,0.001252373,0.0008939382,0.001717312,0.0007510472,0.002669212,0.002138121,0.002052137,0.00871915],"category_scores_gemma":[0.001128844,0.0007449182,0.001423305,0.00350837,0.002214793,0.003881913,0.002563897,0.002793961,0.006841701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009955942,"about_ca_system_score_gemma":0.001090439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001851846,"about_ca_topic_score_gemma":0.001046904,"domain_scores_codex":[0.998997,0.0001297938,0.0000603175,0.0002750257,0.0004798202,0.00005802309],"domain_scores_gemma":[0.9996462,0.00009548518,0.00003310161,0.00009314989,0.0001115403,0.00002050267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002998466,0.00002140758,0.0001724794,0.0007252421,0.00004079932,0.0001711125,0.0002648655,0.01684563,0.003906255,0.7510124,0.02907869,0.1977312],"study_design_scores_gemma":[0.00001317273,0.00004789822,0.0002490038,0.0002324138,0.00002327118,0.0006413082,0.00007705689,0.0466781,0.002435912,0.3307615,0.6187896,0.00005077021],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.0006958611,0.009150849,0.9498692,0.0007984717,0.0008387958,0.00007003861,0.0003527295,0.0008017765,0.03742231],"genre_scores_gemma":[0.06286032,0.03206683,0.8276248,0.002394431,0.00173936,0.0006394972,0.001772539,0.0006163305,0.07028593],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.00871915,"threshold_uncertainty_score":0.02916843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01383240879905921,"score_gpt":0.210292986986906,"score_spread":0.1964605781878468,"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."}}