{"id":"W2085562535","doi":"10.1007/s10878-012-9475-x","title":"Coverage with k-transmitters in the presence of obstacles","year":2012,"lang":"en","type":"article","venue":"Journal of Combinatorial Optimization","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; Carleton University","funders":"","keywords":"Transmitter; Cover (algebra); Combinatorics; Plane (geometry); Integer (computer science); Theory of computation; Line (geometry); Range (aeronautics); Upper and lower bounds; Mathematics; Computer science; Geometry; Telecommunications; Algorithm; Mathematical analysis","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":[0.0007218014,0.00005798683,0.0001110514,0.0001333231,0.00003402256,0.0000450386,0.0003228067,0.00002714468,0.000004625237],"category_scores_gemma":[0.00007011924,0.0000375499,0.00003416083,0.0005294146,0.00001877571,0.001053568,0.00001491219,0.00009404844,2.823018e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002577066,"about_ca_system_score_gemma":0.00008273178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000289819,"about_ca_topic_score_gemma":1.447348e-7,"domain_scores_codex":[0.9990005,0.0001446233,0.0002895894,0.00005102562,0.0004171463,0.00009704495],"domain_scores_gemma":[0.9991232,0.0002228598,0.0002978117,0.0001058983,0.0002173634,0.00003289369],"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":[0.00005949815,0.0002274149,0.002445974,0.000009158093,0.00001142942,0.000002820538,0.001802674,0.9197112,0.0001439571,0.07373381,0.0001322453,0.001719788],"study_design_scores_gemma":[0.01570145,0.004205667,0.09890869,0.0005158072,0.0001565356,0.000511356,0.000741221,0.7988362,0.01874299,0.0558641,0.00483564,0.0009803713],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07537825,0.0001520666,0.9225463,0.0004430884,0.001189964,0.00009001583,3.183755e-7,0.000003598416,0.0001963801],"genre_scores_gemma":[0.95009,0.00003349568,0.04964557,0.00006085547,0.0001627098,0.00000121205,0.000001041782,0.000002529188,0.000002600631],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8747118,"threshold_uncertainty_score":0.1531241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008990101363827583,"score_gpt":0.2259723087213967,"score_spread":0.2169822073575691,"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."}}