{"id":"W4409791172","doi":"10.61091/jcmcc127a-414","title":"An Empirical Study on the Impact of Machine Learning-based Information Resource Management System on Regional Economic Development Patterns","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Hebei University","keywords":"Knowledge management; Empirical research; Business; Computer science; Resource (disambiguation); Process management; Data science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001637885,0.0002271336,0.0004376597,0.0006708352,0.0004065679,0.0002348799,0.0004561598,0.00009586477,0.000005267075],"category_scores_gemma":[0.00009106185,0.0001581597,0.0001211508,0.0003723445,0.00005227626,0.0002585524,0.0001467794,0.000460834,0.00000576958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001879255,"about_ca_system_score_gemma":0.00008178402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003996461,"about_ca_topic_score_gemma":9.417624e-7,"domain_scores_codex":[0.998217,0.0000582144,0.001036362,0.0001317186,0.000373845,0.0001828597],"domain_scores_gemma":[0.9978524,0.0003408009,0.001248476,0.0002624498,0.0002777359,0.00001811125],"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":[0.0002368441,0.001650869,0.03591636,0.0003015363,0.0003797907,0.000007066923,0.000441196,0.002925081,0.000005332164,0.9557779,0.0008683106,0.00148968],"study_design_scores_gemma":[0.04974643,0.00986725,0.215441,0.008207577,0.001358174,0.00004043458,0.04901998,0.3949824,0.0005541784,0.2483134,0.02007534,0.002393715],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943241,0.000005617605,0.001573253,0.0005018924,0.001379703,0.0004121425,9.947403e-7,0.00004850239,0.001753813],"genre_scores_gemma":[0.9994174,5.81382e-7,0.000113643,0.0001382518,0.0003018984,0.000005688255,0.00000748599,0.00001310751,0.00000193223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7074645,"threshold_uncertainty_score":0.6449565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.018751524319163,"score_gpt":0.2759380540348491,"score_spread":0.2571865297156861,"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."}}