{"id":"W4410706009","doi":"10.1145/3737455","title":"A Survey of Subgraph Optimization for Expert Team Formation","year":2025,"lang":"en","type":"review","venue":"ACM Computing Surveys","topic":"Team Dynamics and Performance","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thomson Reuters (Canada); University of Windsor","funders":"","keywords":"Computer science; Subgraph isomorphism problem; Data science; Theoretical computer science; Graph","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":[0.005275202,0.0003649325,0.001370549,0.0004200433,0.0001275594,0.0000359777,0.0007907697,0.0004116039,0.00004498317],"category_scores_gemma":[0.0009168112,0.000339865,0.0003617902,0.0008656988,0.00004201638,0.00007151623,0.0001938121,0.0002400579,0.00001052986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006224038,"about_ca_system_score_gemma":0.0001718773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009263743,"about_ca_topic_score_gemma":0.0001665399,"domain_scores_codex":[0.9960789,0.001882504,0.001097919,0.0004343188,0.0001481384,0.0003582272],"domain_scores_gemma":[0.9940615,0.003678543,0.0009114811,0.0009640434,0.0003413338,0.00004306457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006581889,0.00006905291,0.00041376,0.006968123,0.0001360011,2.29389e-7,0.0002490205,0.0003918262,1.059361e-8,0.0001104634,0.003476601,0.9881783],"study_design_scores_gemma":[0.002486507,0.0006415076,0.01855695,0.03846669,0.0007596263,0.00003562431,0.0001097827,0.1772977,7.486805e-7,0.0001131047,0.7587819,0.002749949],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0000294991,0.758059,0.2382545,0.000004684038,0.001552434,0.0009726567,0.0004230723,0.00006966058,0.0006345371],"genre_scores_gemma":[0.0008212337,0.9874877,0.006102419,0.00002674566,0.0001271677,0.00009516702,0.00491607,0.00006156073,0.0003618805],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9854284,"threshold_uncertainty_score":0.9999053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09383103263867079,"score_gpt":0.4081894251324849,"score_spread":0.314358392493814,"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."}}