{"id":"W7106788651","doi":"10.4230/lipics.gd.2025","title":"LIPIcs, Volume 357, GD 2025, Complete Volume","year":2025,"lang":"en","type":"other","venue":"DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007395998,0.002544794,0.001443862,0.003955137,0.001119267,0.007522779,0.001875122,0.001586142,0.700886],"category_scores_gemma":[0.003404367,0.0007648264,0.0007761713,0.003638753,0.0007216907,0.005228154,0.002882059,0.002131963,0.6958401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002524822,"about_ca_system_score_gemma":0.002318414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004541759,"about_ca_topic_score_gemma":0.007511572,"domain_scores_codex":[0.9990335,0.0000650829,0.00004594108,0.0001607242,0.0006047911,0.00009005926],"domain_scores_gemma":[0.9991824,0.0001315028,0.00003772847,0.0001215219,0.000271192,0.0002555573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000346278,0.0000157419,0.00002663268,0.0001463013,0.000003736369,0.00001055433,0.00001024788,0.0001972667,0.0005892054,0.005758471,0.95034,0.04286714],"study_design_scores_gemma":[0.00001044179,0.000009559873,0.0001056783,0.00005683482,0.000003366752,0.00003315762,0.00001650466,0.0003293297,0.0005646746,0.005281224,0.9935812,0.000008183819],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005282419,0.002354618,0.0104533,0.001373976,0.003975384,0.0001512759,0.02088407,0.010959,0.9493201],"genre_scores_gemma":[0.001593282,0.001351665,0.003358976,0.0003348594,0.0006028952,0.00008933747,0.01396077,0.006668012,0.9720401],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.299114,"threshold_uncertainty_score":0.4266498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01816355913960246,"score_gpt":0.2640134278780731,"score_spread":0.2458498687384706,"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."}}