{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006235083,0.0001995412,0.0002212615,0.0002893538,0.00005241125,0.0001009584,0.0008267266,0.0002315979,0.002114192],"category_scores_gemma":[0.00002109568,0.0001713844,0.00008010312,0.0002961207,0.00002228068,0.00006182008,0.00031717,0.0002286141,0.0005449524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001647523,"about_ca_system_score_gemma":0.00005441537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001848095,"about_ca_topic_score_gemma":0.00001811319,"domain_scores_codex":[0.9989282,0.00004395418,0.0001218778,0.0004725365,0.0001842513,0.0002491101],"domain_scores_gemma":[0.9989347,0.0000915317,0.00007969315,0.0008155718,0.00002353608,0.0000549413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[8.525748e-7,0.000008379577,0.000001783454,0.00001005591,0.00002478743,0.00001475342,0.00002047121,0.00002236424,0.000001145533,0.03901626,0.9177779,0.04310124],"study_design_scores_gemma":[0.00011213,0.000004267604,0.000007236509,0.0001435884,0.000006497096,0.00000305565,0.000008377065,0.003422414,0.0000599058,0.0003275296,0.9956952,0.0002097996],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[1.835225e-7,0.0001466818,0.3297248,0.0001719727,0.001134148,0.00007539168,0.00001723422,0.001011606,0.667718],"genre_scores_gemma":[0.00005022303,0.0001200057,0.05625464,0.0004105968,0.0002602209,0.000003883457,0.00001852431,0.00007980046,0.9428021],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2750841,"threshold_uncertainty_score":0.998798,"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."}}