{"id":"W138750640","doi":"10.1007/978-3-642-03668-2_26","title":"Holonic Modelling of Large Scale Geographic Environments","year":2009,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Situated; Computer science; Geographic information system; Representation (politics); Scale (ratio); Data science; Artificial intelligence; Geography; Cartography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008424856,0.0004201694,0.0004702091,0.0009475478,0.0001657988,0.0002615626,0.004068093,0.0001971415,0.00001384739],"category_scores_gemma":[0.000007268048,0.0004014179,0.0001537116,0.0005249968,0.0004113911,0.0008606985,0.00168187,0.0005025432,0.00003494792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008280773,"about_ca_system_score_gemma":0.00008788206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008789661,"about_ca_topic_score_gemma":0.00001138959,"domain_scores_codex":[0.9964503,0.00002119906,0.0004898728,0.001337771,0.001035955,0.0006649188],"domain_scores_gemma":[0.9978167,0.00008768803,0.0003075619,0.001627637,0.00004365696,0.0001167898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003416457,0.0001091052,0.00008301154,0.00003716737,0.00001911343,0.00006148501,0.0003644548,0.1522471,0.00005401644,0.01414237,0.00001623883,0.8328626],"study_design_scores_gemma":[0.0002572253,0.0001360598,0.0001270399,0.000211101,0.00001103865,0.000007786154,9.00577e-8,0.8976439,0.0004461403,0.09730688,0.003388591,0.0004641706],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001144094,0.0005571654,0.9961151,0.0002302755,0.0005994206,0.0002748851,0.00001197153,0.00006924297,0.002027466],"genre_scores_gemma":[0.1185122,0.000478601,0.8783033,0.001161762,0.0002870487,0.000005601645,0.00002751878,0.00003762762,0.001186372],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8323984,"threshold_uncertainty_score":0.9998438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01631348630134387,"score_gpt":0.2217483351094737,"score_spread":0.2054348488081298,"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."}}