{"id":"W4404860749","doi":"10.18280/mmep.111110","title":"Optimizing the Selection of the Sustainable Micro, Small, and Medium-Sized Enterprises Development Center Using a Multi-Criteria Approach for Regional Development","year":2024,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Regional Development and Policy","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universitas Sumatera Utara","keywords":"Selection (genetic algorithm); Sustainable development; Development (topology); Center (category theory); Business; Computer science; Artificial intelligence; Mathematics; Political science; Chemistry","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":[0.0007636516,0.0001368509,0.0001562891,0.00006864945,0.000444361,0.0001622124,0.0001266031,0.0000695588,0.000002644389],"category_scores_gemma":[0.00003743338,0.00008589444,0.00004296643,0.0001531635,0.00009001156,0.00008672215,0.00006859718,0.0001067459,2.740052e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008113166,"about_ca_system_score_gemma":0.0002172469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003263555,"about_ca_topic_score_gemma":0.000003628582,"domain_scores_codex":[0.9990326,0.0000283209,0.0002802393,0.0001838577,0.000169227,0.0003058192],"domain_scores_gemma":[0.9996136,0.0001707868,0.00003958616,0.0000551072,0.00006237228,0.00005856958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009787816,0.0004755076,0.0006493824,0.01741727,0.0008142329,0.000002623677,0.4882712,0.397893,0.007057267,0.08407386,0.0003085732,0.00293921],"study_design_scores_gemma":[0.0003132672,0.000008522373,0.00006568167,0.0008984003,0.00003298127,0.00001453816,0.001394481,0.9718902,0.0009722752,0.001574977,0.02259063,0.000244017],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1048475,0.0004958278,0.8934622,0.0004099948,0.00006692748,0.0005662431,7.070169e-7,0.0000551215,0.00009543916],"genre_scores_gemma":[0.3867366,0.00009684352,0.6120462,0.00002653805,0.00007011039,0.0001251109,0.000003314615,0.00002507082,0.0008701923],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5739973,"threshold_uncertainty_score":0.3502674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07254727388016541,"score_gpt":0.2824233079870497,"score_spread":0.2098760341068843,"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."}}