{"id":"W1425000130","doi":"10.1007/978-3-642-37186-8_28","title":"Assessing the Impact of In-government Cooperation Dynamics: A Simluation-Based Systems Inquiry","year":2013,"lang":"en","type":"book-chapter","venue":"Communications in computer and information science","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alpha Technologies (Canada)","funders":"","keywords":"Gee; Proposition; Government (linguistics); Iterated function; Computer science; Dynamics (music); Key (lock); Generalized estimating equation; System dynamics; Operations research; Mathematics; Artificial intelligence; Psychology; Epistemology; Computer security; Machine learning; Linguistics","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.007603069,0.0002141481,0.0004377094,0.00109288,0.0004521173,0.002495816,0.002565765,0.0001168028,0.00005362811],"category_scores_gemma":[0.0007608782,0.0001371558,0.00009860164,0.000943539,0.0008286986,0.005618391,0.00107196,0.0003350876,0.00005536671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006621303,"about_ca_system_score_gemma":0.0006258195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002266237,"about_ca_topic_score_gemma":0.00006380448,"domain_scores_codex":[0.9952471,0.0001921428,0.00210403,0.0002889804,0.001960619,0.0002071819],"domain_scores_gemma":[0.9922822,0.0027253,0.001335308,0.002333753,0.001255814,0.00006763625],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009053249,0.00005463167,0.004343085,0.00003026565,0.00001226082,3.482924e-7,0.00423035,0.2530194,0.00001240554,0.4849829,0.001280901,0.2520244],"study_design_scores_gemma":[0.0002220071,0.00003851914,0.02192506,0.0002936675,0.000002523553,0.000004734821,0.00051257,0.9697662,6.502037e-7,0.004674658,0.002412551,0.0001468699],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01525579,0.001084821,0.7872927,0.0005189112,0.0009857925,0.002151357,0.00006708112,0.00003564134,0.1926079],"genre_scores_gemma":[0.9962643,0.00005101666,0.003039433,0.00009157906,0.00002963953,0.0000348436,0.00001625738,0.000006423145,0.0004665316],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9810085,"threshold_uncertainty_score":0.9985397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2116988355394453,"score_gpt":0.4471062258214613,"score_spread":0.235407390282016,"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."}}