{"id":"W4400486105","doi":"10.61091/jcmcc120-05","title":"The Specific Application and Meaning Expression of Folk Art in Urban Landscape Design Under the Optimized Interactive Genetic Algorithm","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Meaning (existential); Expression (computer science); Landscape design; Aesthetics; Genetic algorithm; Urban landscape; Computer science; Art; Algorithm; Artificial intelligence; Geography; Epistemology; Machine learning; Environmental science; Environmental resource management; Philosophy; Environmental planning","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":[0.0004718645,0.0005008099,0.0005413219,0.0005424856,0.0005863961,0.001162261,0.0008505795,0.0008634038,0.001439405],"category_scores_gemma":[0.0009880188,0.0002558647,0.000743964,0.0006630597,0.0008085442,0.0006806728,0.0007628821,0.0004604441,0.0001142136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007501982,"about_ca_system_score_gemma":0.0008921071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008824257,"about_ca_topic_score_gemma":0.005982091,"domain_scores_codex":[0.9997997,0.00006157095,0.000008134791,0.00004529189,0.00005133537,0.00003405856],"domain_scores_gemma":[0.9998529,0.00007636242,0.00001273382,0.00001018113,0.00003904118,0.000008636198],"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":[0.00003411299,0.00003721424,0.001475526,0.0001108701,0.00003839899,0.0001204562,0.0002271168,0.9151269,0.004781015,0.02332976,0.0008636094,0.05385497],"study_design_scores_gemma":[0.000006913249,0.00001483397,0.0001649126,0.000005990181,0.00001112749,0.00001706361,0.00002819913,0.9959378,0.0003608332,0.002901801,0.00054499,0.000005475228],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09378272,0.0006077224,0.8900985,0.0003496274,0.00007836459,0.00009723321,0.00003845778,0.0002249509,0.01472241],"genre_scores_gemma":[0.740391,0.0006372238,0.2537174,0.0001892126,0.00003434945,0.0002071633,0.0000900271,0.00007828973,0.004655281],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008824257,"threshold_uncertainty_score":0.01754582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01550266855096292,"score_gpt":0.2618611666193949,"score_spread":0.246358498068432,"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."}}