{"id":"W4410013534","doi":"10.1002/nav.22265","title":"Abundant Neighborhoods, Two‐Sided Markets, and Maximal Matchings","year":2025,"lang":"en","type":"article","venue":"Naval Research Logistics (NRL)","topic":"Game Theory and Voting Systems","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Combinatorics; Mathematics; Computer science; Business","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":[],"consensus_categories":[],"category_scores_codex":[0.001461212,0.0004356422,0.0008193745,0.0009101289,0.0008551145,0.001639853,0.001180704,0.0007475843,0.005034226],"category_scores_gemma":[0.005403634,0.0004314883,0.0007230062,0.001028152,0.0014739,0.00462346,0.001717304,0.001119728,0.0003928723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009593254,"about_ca_system_score_gemma":0.00063548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0012852,"about_ca_topic_score_gemma":0.001132411,"domain_scores_codex":[0.9987042,0.0005284449,0.00006598789,0.0002888193,0.0002530204,0.0001595851],"domain_scores_gemma":[0.9967747,0.001938436,0.00045248,0.000380123,0.0001958615,0.0002583741],"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":[0.0002589156,0.0002094132,0.002085792,0.0001478925,0.00006111524,0.0001985251,0.0002615487,0.1560803,0.005755505,0.7859128,0.003594274,0.04543388],"study_design_scores_gemma":[0.00003547827,0.00009915655,0.0004394769,0.0000191632,0.0000160538,0.0001290958,0.0001157681,0.3812724,0.002175431,0.6123388,0.003344717,0.00001435141],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2344857,0.0005240817,0.7503901,0.0006925358,0.00004515913,0.0001410613,0.0003764379,0.0003123905,0.01303257],"genre_scores_gemma":[0.8611118,0.0002352888,0.1347775,0.0001045461,0.00004141987,0.0001097528,0.0003105762,0.00008562719,0.003223469],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005034226,"threshold_uncertainty_score":0.01684123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1044276789185118,"score_gpt":0.362415414124333,"score_spread":0.2579877352058212,"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."}}