{"id":"W1570640940","doi":"10.1007/978-3-642-15461-4_1","title":"A Graph-Based Developmental Swarm Representation and Algorithm","year":2010,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"DNA and Biological Computing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Rule-based machine translation; Theoretical computer science; Representation (politics); Graph; Generative grammar; Swarm behaviour; Multi-agent system; Property (philosophy); Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004446242,0.0007133349,0.001053473,0.001101629,0.0006690896,0.001069047,0.002294438,0.001538186,0.00453535],"category_scores_gemma":[0.00147314,0.0004403932,0.0009504093,0.001294697,0.0006320432,0.0009346295,0.001459883,0.001065495,0.0009260486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001061333,"about_ca_system_score_gemma":0.001088896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01396205,"about_ca_topic_score_gemma":0.01014496,"domain_scores_codex":[0.9998237,0.00004164912,0.00001097791,0.00004670931,0.00005809991,0.00001886683],"domain_scores_gemma":[0.9996148,0.0001763088,0.00002284389,0.00005331634,0.0001041989,0.00002852202],"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":[0.00004968466,0.00003975133,0.0003257605,0.00005943295,0.0000284473,0.00004196664,0.00006015153,0.8374919,0.001937935,0.02852905,0.003165229,0.1282707],"study_design_scores_gemma":[0.000004743703,0.000005728594,0.00002099826,0.00000271865,0.000003379706,0.000005989573,0.000003482271,0.9955823,0.0001692039,0.003780858,0.0004180333,0.000002509815],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004942714,0.00008977218,0.9918935,0.0001208292,0.00004102485,0.00005937989,0.0001167571,0.0006403867,0.002095738],"genre_scores_gemma":[0.1533529,0.0002260335,0.8404706,0.0001117553,0.00003790501,0.0003395297,0.0005445189,0.0002229935,0.004693671],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01396205,"threshold_uncertainty_score":0.02776158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01423538990005921,"score_gpt":0.250039497655113,"score_spread":0.2358041077550538,"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."}}