{"id":"W4410527555","doi":"10.46298/dmtcs.12743","title":"On Separating Path and Tree Systems in Graphs","year":2025,"lang":"en","type":"article","venue":"Discrete Mathematics & Theoretical Computer Science","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds De La Recherche Scientifique - FNRS; National Science Foundation","keywords":"Mathematics; Combinatorics; Path (computing); Tree (set theory); Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001286508,0.0002061137,0.0002720179,0.0004248046,0.0002492922,0.001242697,0.001850426,0.00003847791,0.000002965331],"category_scores_gemma":[0.0001053976,0.0001581121,0.00004104897,0.001475509,0.0008729379,0.0006276327,0.001359513,0.0001685581,0.00001461926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002974542,"about_ca_system_score_gemma":0.00004060706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003642484,"about_ca_topic_score_gemma":8.397476e-7,"domain_scores_codex":[0.9978762,0.00006875699,0.0003793925,0.0006852596,0.0005294508,0.0004609157],"domain_scores_gemma":[0.9985288,0.0003989926,0.00007755504,0.0008294689,0.00005264117,0.000112565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001433692,0.00005181714,0.00003141274,0.00005347264,0.000004088253,0.00001187875,0.0003826717,0.00007720517,0.00003800337,0.9891152,0.0000749569,0.01015784],"study_design_scores_gemma":[0.0001441247,0.00004784472,0.0001480988,0.0001800526,0.000003076883,0.000002811184,0.00003594288,0.6040877,0.00004292589,0.3951696,0.00002096029,0.0001168011],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01254449,0.00005216343,0.9669975,0.0004586335,0.0003963633,0.000297328,0.000002241655,0.0001084804,0.01914277],"genre_scores_gemma":[0.8129818,0.000009111755,0.1866398,0.0002901058,0.00001613116,0.00001758047,0.000001213332,0.000005639493,0.00003856132],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8004374,"threshold_uncertainty_score":0.9997941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01010660573382211,"score_gpt":0.2607229973989048,"score_spread":0.2506163916650826,"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."}}