{"id":"W840183027","doi":"10.1007/978-3-319-20496-3_2","title":"Localization: Fundamental Results","year":2015,"lang":"en","type":"book-chapter","venue":"Lecture notes in control and information sciences","topic":"Petri Nets in System Modeling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Supervisor; Supervisory control; Controller (irrigation); Cover (algebra); Boundary (topology); Control theory (sociology); Supervisory control theory; Property (philosophy); Control (management); Event (particle physics); Computer science; Interpretation (philosophy); Mathematics; Control engineering; Engineering; Artificial intelligence; Physics","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":[0.001416576,0.0002374385,0.0003093874,0.0004946049,0.0001977396,0.0006370245,0.0007153761,0.0002370539,0.000009726105],"category_scores_gemma":[0.0003141402,0.000187818,0.00004195042,0.0002458094,0.000216725,0.003204054,0.0001639068,0.0002253788,0.00005014238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000110384,"about_ca_system_score_gemma":0.000256223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002623853,"about_ca_topic_score_gemma":0.0000327702,"domain_scores_codex":[0.9978858,0.00003026076,0.0007256201,0.0003222757,0.0007994154,0.0002365897],"domain_scores_gemma":[0.9986951,0.0002778994,0.0004225589,0.0002987785,0.0002143514,0.00009136391],"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":[0.00006363008,0.000008702353,0.0001100779,0.00007440261,0.00002553443,0.000006849195,0.003792622,0.1539739,0.000002820945,0.3140148,0.001297553,0.526629],"study_design_scores_gemma":[0.001074893,0.0001231766,0.000009774494,0.0001620342,0.000005028752,0.00003402495,0.00000914364,0.6893881,0.000004074353,0.03407449,0.2748162,0.000298995],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.000003208844,0.001240787,0.7720673,0.001158323,0.0005051504,0.000167481,0.00002758541,0.00006743614,0.2247627],"genre_scores_gemma":[0.9754431,0.0003356585,0.01386972,0.006964491,0.0004078169,0.00002475936,0.00006190058,0.00001584321,0.002876753],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9754398,"threshold_uncertainty_score":0.7658997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03195893917781655,"score_gpt":0.2612727029197429,"score_spread":0.2293137637419264,"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."}}