{"id":"W4220922057","doi":"10.18280/ts.390110","title":"A Closed-Loop Detection Algorithm for Indoor Simultaneous Localization and Mapping Based on You Only Look Once v3","year":2022,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Frame (networking); Loop (graph theory); Odometer; Position (finance); Computer vision; Artificial intelligence; Key (lock); Pattern recognition (psychology); Algorithm; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001954113,0.0001783709,0.0001519321,0.000173784,0.0003007245,0.00005457911,0.00007172648,0.00005241856,0.00007046184],"category_scores_gemma":[0.00001708911,0.0002055624,0.00005098022,0.0002293703,0.00001902382,0.00005927839,0.00001470614,0.0001252409,0.000002204747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002078827,"about_ca_system_score_gemma":0.00002844266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001051601,"about_ca_topic_score_gemma":0.000008413261,"domain_scores_codex":[0.99889,0.00004860263,0.0002804213,0.0002503755,0.0002939698,0.0002365784],"domain_scores_gemma":[0.9995782,0.0001435685,0.00005458687,0.0001027786,0.00005316123,0.00006770429],"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":[0.00003897257,0.00005968843,0.00005477422,0.00005529881,0.00001982533,0.000007754396,0.0001592925,0.8588687,0.002601551,0.00006350382,0.00005992925,0.1380108],"study_design_scores_gemma":[0.00133442,0.0004276316,0.00006376091,0.00002179087,0.00002689279,0.000004902773,0.0001819469,0.9900642,0.003119277,0.00003994042,0.004483793,0.0002314579],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03840313,0.00004238882,0.9603061,0.00005360262,0.0002017046,0.000620581,0.00006118913,0.0002628343,0.00004845934],"genre_scores_gemma":[0.9955181,0.000005908197,0.003664752,0.0003382265,0.0001154801,0.0001002868,0.000155569,0.00006348146,0.00003813912],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9571151,"threshold_uncertainty_score":0.8382593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0095031331018856,"score_gpt":0.1987137769508429,"score_spread":0.1892106438489573,"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."}}