{"id":"W4409583398","doi":"10.61091/jcmcc127a-013","title":"A study on the distribution of family socio-economic resources on children’s educational opportunities based on linear programming modeling","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Korean Urban and Social Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Distribution (mathematics); Mathematics education; Linear programming; Computer science; Sociology; Psychology; Mathematics; Algorithm; Mathematical analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001528519,0.0007721595,0.0006592771,0.0009338106,0.0004831055,0.001248025,0.0009082167,0.0006186034,0.003278083],"category_scores_gemma":[0.004986832,0.0004244591,0.001165904,0.002050046,0.0005201641,0.001432157,0.0006891254,0.00102514,0.0001817403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00175071,"about_ca_system_score_gemma":0.001629618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01896181,"about_ca_topic_score_gemma":0.01167478,"domain_scores_codex":[0.9989498,0.0005806713,0.00002425518,0.000151202,0.0001372622,0.0001567871],"domain_scores_gemma":[0.996917,0.002600924,0.0001776322,0.00005190713,0.0001805496,0.00007196028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001314576,0.0003219222,0.03183881,0.0002445574,0.0002388979,0.0004695007,0.0006907659,0.8596284,0.001300779,0.06065806,0.001427922,0.04304901],"study_design_scores_gemma":[0.000005781334,0.00005772775,0.004887323,0.00001723126,0.00003358366,0.00004725822,0.000318184,0.9877661,0.0002623453,0.00566342,0.0009279985,0.00001306432],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4622398,0.0006266281,0.5190461,0.0009823032,0.00005121664,0.0001364139,0.0004134836,0.00011408,0.01639003],"genre_scores_gemma":[0.9489058,0.0008599641,0.04477736,0.00007428983,0.00002898567,0.0002812429,0.0002776725,0.00004233884,0.00475229],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01896181,"threshold_uncertainty_score":0.03770292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03205558394788909,"score_gpt":0.2675805990994244,"score_spread":0.2355250151515353,"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."}}