{"id":"W4409605195","doi":"10.61091/jcmcc127b-284","title":"Early warning technology and optimization research on real-time perception of environmental protection risk during the construction period of power transmission and transformation projects based on image processing algorithm","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":"State Grid Corporation of China","keywords":"Period (music); Warning system; Transformation (genetics); Transmission (telecommunications); Power transmission; Optimization algorithm; Perception; Power (physics); Computer science; Algorithm; Operations research; Artificial intelligence; Engineering; Mathematical optimization; Psychology; Mathematics; Telecommunications","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":[0.001965357,0.0001153902,0.0002558458,0.0004295105,0.0007958477,0.00007665239,0.00009197211,0.0001424533,0.000004040111],"category_scores_gemma":[0.0001031861,0.00009103273,0.00004050613,0.0003388976,0.0004077597,0.0001871462,0.00002938578,0.0003376252,1.175609e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001323979,"about_ca_system_score_gemma":0.00009052565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001320466,"about_ca_topic_score_gemma":6.808214e-8,"domain_scores_codex":[0.9983546,0.0002588738,0.0005030244,0.0001340259,0.0006022933,0.0001471484],"domain_scores_gemma":[0.9990707,0.0001748251,0.0005186204,0.00006374478,0.0001305007,0.00004157929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003813614,0.003436251,0.006656232,0.002685591,0.0003514878,0.00001294922,0.1987363,0.008626214,0.09127314,0.2074529,0.00001503365,0.4769403],"study_design_scores_gemma":[0.02045965,0.008005637,0.05343,0.008622636,0.0003877682,0.00006717465,0.08363423,0.562822,0.0126123,0.2486716,0.0002639286,0.001023111],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9822109,0.00003119877,0.01624144,0.0003013051,0.0003578452,0.0004802333,9.423413e-7,0.00001028296,0.0003658886],"genre_scores_gemma":[0.9919088,0.0002290515,0.007780997,0.000001112284,0.00006321054,0.000003742341,5.466893e-7,0.000008142457,0.000004423629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5541958,"threshold_uncertainty_score":0.6121097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00946722473949501,"score_gpt":0.2598557359651039,"score_spread":0.2503885112256088,"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."}}