{"id":"W4411115412","doi":"10.1007/978-3-031-93706-4_19","title":"Visualizing Temporal Interval Hierarchies","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Constraint Satisfaction and Optimization","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Interval (graph theory); Interval temporal logic; Theoretical computer science; Temporal logic; Mathematics; Combinatorics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005177317,0.000397626,0.0004019912,0.001278442,0.000254584,0.0006677042,0.001888269,0.0002221066,0.0000517414],"category_scores_gemma":[0.00009087711,0.0003867172,0.000133414,0.0006551037,0.0005474381,0.0006492364,0.001193107,0.0006485049,0.00002632962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002543963,"about_ca_system_score_gemma":0.0006992255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002332714,"about_ca_topic_score_gemma":0.0001246444,"domain_scores_codex":[0.9972792,0.00003693131,0.0004868979,0.001133192,0.0006302495,0.0004334926],"domain_scores_gemma":[0.9983406,0.0003073273,0.0002072968,0.0008436515,0.0001840067,0.0001170971],"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":[0.000003055098,0.00001051039,0.000159805,0.00002809563,0.000008864241,0.00003093967,0.0004450119,0.00829934,0.00001979684,0.06683643,0.00006018031,0.924098],"study_design_scores_gemma":[0.0002829887,0.0001086196,0.000255247,0.0006873098,0.000007671391,0.00005708014,3.309794e-7,0.8801655,0.000466902,0.1117806,0.005487125,0.0007006548],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00001540423,0.0001673313,0.9832705,0.001235693,0.002245639,0.0002452009,0.000003698614,0.0002488111,0.01256771],"genre_scores_gemma":[0.09518265,0.0000721344,0.8989204,0.002807283,0.0003628273,0.000009149056,0.0000132643,0.00002711543,0.002605234],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9233973,"threshold_uncertainty_score":0.9998585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01565196825844167,"score_gpt":0.2673765944218494,"score_spread":0.2517246261634077,"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."}}