{"id":"W2532205100","doi":"10.1017/jpr.2016.33","title":"Sensor allocation problems on the real line","year":2016,"lang":"en","type":"article","venue":"Journal of Applied Probability","topic":"Distributed Sensor Networks and Detection Algorithms","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Mathematics; Queueing theory; Real line; Convergence (economics); Line (geometry); Mathematical optimization; Midpoint; Discrete mathematics; Statistics; Geometry","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":[0.003729732,0.0007468673,0.001096961,0.0007298677,0.0006063227,0.001652348,0.00186958,0.001766462,0.003572072],"category_scores_gemma":[0.01436549,0.0004436801,0.0005201091,0.001138679,0.002121085,0.002754941,0.001428416,0.001446065,0.0003614341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001649803,"about_ca_system_score_gemma":0.0005243527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001226841,"about_ca_topic_score_gemma":0.0004144002,"domain_scores_codex":[0.9968761,0.001760119,0.0001227119,0.0004810212,0.0004281612,0.0003318464],"domain_scores_gemma":[0.9841886,0.01247187,0.00141485,0.0006097273,0.0008558989,0.0004591374],"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":[0.0003051115,0.0001159666,0.0008162051,0.0001248377,0.00006215065,0.0003599097,0.0001656133,0.8333732,0.002925336,0.1491367,0.001058172,0.01155671],"study_design_scores_gemma":[0.00003945299,0.00005528431,0.0001819129,0.000008202247,0.000006190448,0.00006458905,0.0000535699,0.9533854,0.0005107266,0.04492424,0.0007617155,0.000008828625],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1566731,0.0009307923,0.8353064,0.0009968883,0.00008014758,0.00007437307,0.000100153,0.0001286044,0.00570951],"genre_scores_gemma":[0.9428946,0.0003337245,0.05244575,0.0001311252,0.00009022663,0.0001411593,0.00008112382,0.00004154201,0.00384079],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003729732,"threshold_uncertainty_score":0.01972497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02374834540037755,"score_gpt":0.226471697115151,"score_spread":0.2027233517147734,"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."}}