{"id":"W4409603238","doi":"10.61091/jcmcc127b-084","title":"Research on Intelligent Development Path of Countryside under New Infrastructure Construction Based on Multi-Objective Optimization","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Regional Development and Environment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Path (computing); Computer science; Rural area; Computer network; Political 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007213249,0.0007480212,0.0008027033,0.001344346,0.0007364324,0.002199874,0.0009484577,0.0008457248,0.002020485],"category_scores_gemma":[0.0008396904,0.0003600848,0.001004547,0.001696029,0.0007055548,0.002254868,0.001098853,0.0006756397,0.0001604411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001292554,"about_ca_system_score_gemma":0.002948322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007565833,"about_ca_topic_score_gemma":0.006180626,"domain_scores_codex":[0.9995359,0.0001644762,0.00001643516,0.00009270441,0.00009583279,0.00009463414],"domain_scores_gemma":[0.9997731,0.00006624488,0.00004673978,0.00001565858,0.00006319154,0.0000351512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003948318,0.0000482381,0.003809627,0.0002499608,0.00007769241,0.0001878453,0.0001602488,0.9108129,0.002200754,0.03788251,0.001280277,0.04325045],"study_design_scores_gemma":[0.00001383816,0.0000635823,0.001575527,0.00003856223,0.0000458005,0.00007155653,0.000320433,0.9808465,0.00112199,0.01278028,0.003094918,0.00002706307],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1658865,0.001995836,0.8083682,0.001482043,0.0001069367,0.0001361583,0.000169959,0.000334371,0.02151996],"genre_scores_gemma":[0.8905758,0.002435709,0.1002374,0.0001011635,0.00003053164,0.0001454763,0.000191375,0.00005229954,0.006230239],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007565833,"threshold_uncertainty_score":0.01504356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03058955420619089,"score_gpt":0.3175486012723415,"score_spread":0.2869590470661506,"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."}}