{"id":"W1999219484","doi":"10.1145/1179849.1180045","title":"Sequential sampling for dynamic environment maps","year":2006,"lang":"en","type":"article","venue":"","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Sampling (signal processing); Computer vision","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":[],"consensus_categories":[],"category_scores_codex":[0.0001277954,0.00008918346,0.00008082775,0.00003548727,0.000133661,0.0001173313,0.0003882574,0.00004633332,0.00005606551],"category_scores_gemma":[0.000003434537,0.00007947518,0.00005815893,0.00005437785,0.00001953104,0.0001496735,0.0001297508,0.00005409529,0.00007839045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003036938,"about_ca_system_score_gemma":0.000008675013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003919908,"about_ca_topic_score_gemma":0.000009225943,"domain_scores_codex":[0.9991337,0.000012918,0.0001673374,0.0003057722,0.0001377747,0.0002425181],"domain_scores_gemma":[0.9994581,0.00007736072,0.00003835224,0.0003783886,0.00001097643,0.00003680032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002102411,0.0002586597,0.0006802825,0.00003115777,0.00002691449,0.00001418707,0.00008975673,0.08467942,0.01145905,0.7040508,0.07522544,0.1234633],"study_design_scores_gemma":[0.0006336975,0.0000633096,0.001576855,0.00001223925,0.000009115307,0.00002087475,0.00001013983,0.5084516,0.001518462,0.05256261,0.434745,0.0003961147],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002162045,0.0000683534,0.9949337,0.0003694319,0.0004546223,0.0001213803,0.00001723955,0.0001991499,0.001674051],"genre_scores_gemma":[0.3274087,0.00001218901,0.6702561,0.000189398,0.0001687046,0.0000137847,0.0000998364,0.00001019091,0.001841142],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6514882,"threshold_uncertainty_score":0.3240904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01913611411201874,"score_gpt":0.2463436950815527,"score_spread":0.2272075809695339,"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."}}