{"id":"W4220944310","doi":"10.18280/ijdne.170103","title":"The Swarm City - Characteristics of the Swarm Intelligence System in the Traditional Arab City","year":2022,"lang":"en","type":"article","venue":"International Journal of Design & Nature and Ecodynamics","topic":"Urban Design and Spatial Analysis","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Swarm behaviour; Swarm intelligence; Swarm robotics; Artificial intelligence; Computer science; Function (biology); Generative grammar; Machine learning; Particle swarm optimization","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":[0.0003289425,0.0002595965,0.0002247924,0.000821456,0.00106595,0.002449257,0.0002998598,0.0006737033,0.003276941],"category_scores_gemma":[0.0008038576,0.0001792222,0.0003623888,0.0008515226,0.002295981,0.001520932,0.0009277544,0.0005484345,0.0003979427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009528215,"about_ca_system_score_gemma":0.0007409214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004210717,"about_ca_topic_score_gemma":0.002155129,"domain_scores_codex":[0.9997949,0.0000679074,0.00001360475,0.00004133761,0.00004900917,0.00003331116],"domain_scores_gemma":[0.9997157,0.00007961691,0.00004559687,0.0000364034,0.00007983824,0.00004269461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000760617,0.00003060348,0.009846659,0.0001391301,0.00003346627,0.0008246822,0.005201677,0.02736169,0.005710531,0.9228217,0.003840946,0.02411282],"study_design_scores_gemma":[0.00006560589,0.0001594311,0.03575702,0.0001505748,0.00007401573,0.002475007,0.009484408,0.2332764,0.003582304,0.5895526,0.1252772,0.0001454351],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4564792,0.002154456,0.2095197,0.00263183,0.0002364424,0.0002262091,0.0003834279,0.000325657,0.3280431],"genre_scores_gemma":[0.9733603,0.0004018526,0.01638274,0.0000630064,0.00003846527,0.00007310418,0.00009721087,0.0000261765,0.009557114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004210717,"threshold_uncertainty_score":0.01096249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01633318205782207,"score_gpt":0.2123372401344417,"score_spread":0.1960040580766196,"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."}}