{"id":"W7027991923","doi":"","title":"Effektiv Autonom Utforskningsplanering av Storskaliga 3D-Miljöer : Ett verktyg för 3D utforskning inomhus","year":2019,"lang":"en","type":"article","venue":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Automation; Robotics; Scale (ratio); Motion planning; Information system; Horizon; Frontier","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004580862,0.0006196275,0.0004591398,0.0003201581,0.0003769306,0.001271523,0.0005496908,0.0006903464,0.007717804],"category_scores_gemma":[0.001060494,0.0003236107,0.000381387,0.0002544275,0.0005003924,0.00119512,0.001860141,0.0008665588,0.001779746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004105442,"about_ca_system_score_gemma":0.0006689618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002151993,"about_ca_topic_score_gemma":0.002553293,"domain_scores_codex":[0.9997111,0.00005310974,0.00001001579,0.00005909646,0.0001342264,0.00003242959],"domain_scores_gemma":[0.9997082,0.0001384426,0.00002183579,0.00005150032,0.00004583506,0.0000341205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005094383,0.0002051084,0.001940954,0.0004255736,0.00006249289,0.0002041376,0.0003472317,0.4350659,0.08784001,0.01066227,0.008049216,0.4546876],"study_design_scores_gemma":[0.00004873129,0.0002635296,0.001713479,0.00006440229,0.00003530375,0.0001656723,0.0001798386,0.9170923,0.05479125,0.007613656,0.01798426,0.00004755679],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.096387,0.001378533,0.8816471,0.0006178238,0.0002188714,0.000137033,0.0005075851,0.00430727,0.01479867],"genre_scores_gemma":[0.6081908,0.001427554,0.3754857,0.0001287395,0.00005075211,0.0001677588,0.0008486866,0.0007989992,0.01290107],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007717804,"threshold_uncertainty_score":0.02581865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009935796099445452,"score_gpt":0.2135244735897488,"score_spread":0.2035886774903034,"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."}}