{"id":"W4302856080","doi":"10.48550/arxiv.1507.08923","title":"On the Displacement for Covering a Unit Interval with Randomly Placed\\n Sensors","year":2015,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Displacement (psychology); RADIUS; Energy (signal processing); Range (aeronautics); Power (physics); Interval (graph theory); Energy consumption; Line (geometry); Focus (optics); Unit interval; Function (biology); Mathematics; Electrical engineering; Computer science; Geometry; Mathematical analysis; Engineering; Physics; Combinatorics; Statistics; Optics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002560426,0.001016708,0.0008990082,0.0009306406,0.0007710647,0.001157758,0.001809955,0.001594815,0.008108148],"category_scores_gemma":[0.01592569,0.0005393082,0.0005877566,0.00134406,0.002837834,0.0033181,0.00270484,0.001609271,0.0006397119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002516351,"about_ca_system_score_gemma":0.00100634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002564131,"about_ca_topic_score_gemma":0.002712955,"domain_scores_codex":[0.9989453,0.0004376148,0.00004610799,0.0001959626,0.0002323829,0.0001427346],"domain_scores_gemma":[0.9933153,0.005329308,0.0004071085,0.0004378434,0.0002240486,0.0002864005],"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":[0.0004895709,0.00007084959,0.001943808,0.0004121821,0.00003560351,0.0001053903,0.0003220314,0.8314959,0.005205929,0.1271574,0.003652246,0.02910901],"study_design_scores_gemma":[0.00004729697,0.0001765389,0.0007034513,0.00006591423,0.00002494962,0.00007812153,0.0001742633,0.9496695,0.002307034,0.04391835,0.002814511,0.00002008161],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1117097,0.001865278,0.8613065,0.004674173,0.0001377163,0.0002137389,0.0003744857,0.0002071221,0.01951135],"genre_scores_gemma":[0.7464321,0.002099645,0.2360238,0.0007370532,0.0002146222,0.0005804063,0.0006046421,0.0004618806,0.01284588],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008108148,"threshold_uncertainty_score":0.0271244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09625869643822474,"score_gpt":0.2064314052865177,"score_spread":0.1101727088482929,"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."}}