{"id":"W4409603230","doi":"10.61091/jcmcc127b-080","title":"Study on the Intelligent Promotion Path of Green Port under the Carbon Peak and Carbon Neutral Strategy Based on Multi-Objective Genetic Algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Path (computing); Carbon fibers; Promotion (chess); Genetic algorithm; Port (circuit theory); Algorithm; Computer science; Mathematical optimization; Mathematics; Engineering; Electronic engineering; Political science; Computer network","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":[0.0008080201,0.0009018944,0.001178534,0.001098964,0.000638829,0.001664769,0.001240176,0.001162685,0.002238097],"category_scores_gemma":[0.001340845,0.000455977,0.0008973398,0.0007822243,0.0005710241,0.00111221,0.000708499,0.000775504,0.0001514193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00142643,"about_ca_system_score_gemma":0.002161843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01702165,"about_ca_topic_score_gemma":0.006643703,"domain_scores_codex":[0.9996592,0.00008212633,0.00001437206,0.00007238719,0.00007882188,0.00009308192],"domain_scores_gemma":[0.9996069,0.0001657551,0.00005553646,0.00001296924,0.0001176342,0.00004124495],"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":[0.00003047249,0.00003252258,0.001128234,0.00004988852,0.00003580815,0.00007679297,0.00006161762,0.9792221,0.0007247366,0.005191327,0.0004268606,0.01301961],"study_design_scores_gemma":[0.000007692607,0.00001977698,0.0001347009,0.000003802166,0.000009871956,0.00001032636,0.00001906355,0.9986436,0.0001172954,0.0008838104,0.0001465006,0.00000353878],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1743412,0.0008931792,0.8081452,0.0006722975,0.0001054723,0.0001740971,0.00008056879,0.0003884719,0.01519959],"genre_scores_gemma":[0.9417158,0.0004545684,0.05359554,0.0001230772,0.00002339548,0.0001536069,0.00008850903,0.00003607695,0.003809552],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01702165,"threshold_uncertainty_score":0.03384519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02140583992359662,"score_gpt":0.2527911164758941,"score_spread":0.2313852765522975,"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."}}