{"id":"W4406028872","doi":"10.1002/9781394155293.ch6","title":"Active Ranging Sensors","year":2025,"lang":"en","type":"other","venue":"","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Ranging; Odometry; Lidar; Computer science; Focus (optics); Radar; Sonar; SIGNAL (programming language); Signal processing; Remote sensing; Artificial intelligence; Computer vision; Geography; Telecommunications; Physics; Mobile robot; Optics","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":[0.000604627,0.001299413,0.0008992305,0.001267607,0.0008301043,0.002354132,0.002550006,0.001739037,0.03842528],"category_scores_gemma":[0.001692283,0.0004875366,0.0004119573,0.001551368,0.0005438171,0.002971581,0.002212997,0.001316441,0.03724511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004332786,"about_ca_system_score_gemma":0.0005199673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000738285,"about_ca_topic_score_gemma":0.0007782199,"domain_scores_codex":[0.998639,0.0001151766,0.00004471124,0.0003030953,0.0007959729,0.0001019233],"domain_scores_gemma":[0.9991102,0.0001760602,0.00006729761,0.0001936949,0.0004014843,0.00005132599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002640199,0.0001217177,0.001142864,0.001247957,0.00005609382,0.0003534335,0.0003150895,0.006678952,0.1200267,0.06109853,0.1263983,0.6822964],"study_design_scores_gemma":[0.00003425934,0.0001663364,0.001115783,0.0002836925,0.00005029937,0.001252129,0.0001563567,0.0146007,0.05059827,0.01237082,0.9192914,0.00007976953],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01053829,0.01460365,0.6032889,0.001186251,0.002646777,0.0004533428,0.003915692,0.01020241,0.3531646],"genre_scores_gemma":[0.1838456,0.02061551,0.2703744,0.003584401,0.001892667,0.0007491319,0.009949082,0.001634455,0.5073548],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03842528,"threshold_uncertainty_score":0.1285453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00735999066331037,"score_gpt":0.232032638636094,"score_spread":0.2246726479727837,"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."}}