{"id":"W4210699527","doi":"10.1038/s41598-022-05439-w","title":"Stepwise slime mould growth as a template for urban design","year":2022,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Slime Mold and Myxomycetes Research","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Physarum polycephalum; Computer science; Slime mold; Physarum; Flexibility (engineering); Population; Constructive; Multicellular organism; Node (physics); Distributed computing; Artificial intelligence; Biology; Engineering; Process (computing); Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001272886,0.0002428118,0.0001786625,0.0002398912,0.0003069183,0.0004834542,0.000538417,0.0003313949,0.001730602],"category_scores_gemma":[0.0003600921,0.0002022239,0.0002495807,0.0001695919,0.0005955364,0.0004791874,0.0006767887,0.0004073927,0.0004136279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004900444,"about_ca_system_score_gemma":0.0003622858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008323098,"about_ca_topic_score_gemma":0.001554972,"domain_scores_codex":[0.9999207,0.00001672629,0.00000330045,0.00001826763,0.00002743042,0.00001351445],"domain_scores_gemma":[0.9998699,0.00002948599,0.00001981403,0.00003783232,0.00001834368,0.00002453153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006830461,0.00006915974,0.002237422,0.0001822098,0.00002297335,0.0003028965,0.000401251,0.4907688,0.2585716,0.196935,0.001696175,0.04874416],"study_design_scores_gemma":[0.00003410213,0.0001884349,0.001272987,0.00003217546,0.00001618277,0.0002016182,0.0001666105,0.8295902,0.08251842,0.05230231,0.03364233,0.00003462721],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3357842,0.0002926773,0.641203,0.0004069479,0.00008753013,0.0001069421,0.0001847978,0.001516038,0.02041787],"genre_scores_gemma":[0.841397,0.0002020879,0.153473,0.00004104601,0.000007627714,0.0001253303,0.00009461721,0.0001440167,0.004515276],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001730602,"threshold_uncertainty_score":0.005789399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02901459117245824,"score_gpt":0.2532336880190028,"score_spread":0.2242190968465445,"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."}}