{"id":"W4394946076","doi":"10.1145/3627703.3629589","title":"Contigra: Graph Mining with Containment Constraints","year":2024,"lang":"en","type":"article","venue":"","topic":"Graph Theory and Algorithms","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Universitas Brawijaya","keywords":"Scalability; Containment (computer programming); Computer science; Graph; Constraint (computer-aided design); Task (project management); Limit (mathematics); Theoretical computer science; Distributed computing; Mathematics; Programming language; Database; Engineering","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":[0.0002277172,0.0001046218,0.00009838908,0.00009597633,0.00006750978,0.0002539276,0.0003011898,0.00002412525,0.00009312297],"category_scores_gemma":[0.000003400154,0.00006998455,0.00004812615,0.0003302124,0.0001501206,0.0002763959,0.00005229632,0.00007455359,0.00004871714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008698316,"about_ca_system_score_gemma":0.00003994638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000348742,"about_ca_topic_score_gemma":0.000003936056,"domain_scores_codex":[0.9992056,0.00002992523,0.0001064415,0.0002952526,0.000156939,0.0002058695],"domain_scores_gemma":[0.9995719,0.00009515883,0.00001397632,0.0002180704,0.00002249278,0.00007842592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000002403789,0.00001449919,0.0001844691,0.000008571031,0.0000443334,0.0001873279,0.0005825033,0.000005295871,0.0001563887,0.9347591,0.0004800136,0.06357512],"study_design_scores_gemma":[0.005814451,0.003589657,0.007163523,0.001817636,0.0001803827,0.002886676,0.009024531,0.1780697,0.04297787,0.6660466,0.0782768,0.00415217],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01870899,0.0002680148,0.9510401,0.0007048819,0.0003643874,0.0001043014,0.000001836794,0.0004544193,0.0283531],"genre_scores_gemma":[0.9618858,0.00000451764,0.03694373,0.00037582,0.00002203668,0.00001080303,7.328254e-7,0.000005086738,0.0007514515],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9431769,"threshold_uncertainty_score":0.2853887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007221691130384037,"score_gpt":0.2114332015512894,"score_spread":0.2042115104209054,"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."}}