{"id":"W973397369","doi":"10.1007/978-3-319-19315-1_13","title":"A 3-Approximation Algorithm for Guarding Orthogonal Art Galleries with Sliding Cameras","year":2015,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Computer graphics (images); Algorithm; Computer vision; Artificial intelligence","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":[0.0005907175,0.001432101,0.001970239,0.001399618,0.0006154642,0.001505786,0.002351014,0.001637597,0.01232021],"category_scores_gemma":[0.001934972,0.00108887,0.001903787,0.001251922,0.000694561,0.001695252,0.003338835,0.002231986,0.002805611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006582419,"about_ca_system_score_gemma":0.001156843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006671159,"about_ca_topic_score_gemma":0.008862878,"domain_scores_codex":[0.9993024,0.00006172548,0.00004662021,0.0001568657,0.0003266016,0.0001058295],"domain_scores_gemma":[0.999375,0.0002053453,0.00004259029,0.0001759649,0.0001401008,0.00006103663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004148353,0.0001781938,0.0007983368,0.0002114277,0.00008428446,0.000136736,0.0002509147,0.204933,0.01642611,0.02152387,0.009209926,0.7458323],"study_design_scores_gemma":[0.0000294517,0.00006478098,0.0001395841,0.00001915578,0.00001212373,0.000083854,0.00005206534,0.9852135,0.003728908,0.007118661,0.003522472,0.00001544283],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00910162,0.00009643527,0.9871504,0.00003314565,0.00005714223,0.00007565619,0.0001207411,0.001484587,0.001880222],"genre_scores_gemma":[0.05881244,0.0000873877,0.9374279,0.00003363619,0.00001879816,0.00008904925,0.0004737155,0.0003179619,0.002739202],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01232021,"threshold_uncertainty_score":0.04121524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02769784338611798,"score_gpt":0.2585706656298561,"score_spread":0.2308728222437381,"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."}}