{"id":"W2128076582","doi":"10.2139/ssrn.284204","title":"Probabilistic Representation of Complexity","year":2001,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Probabilistic logic; Representation (politics); Computer science; Artificial intelligence; Mathematics; Political science","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":[0.002275531,0.0007679002,0.001165248,0.003135061,0.001257875,0.005473969,0.001765778,0.001939712,0.01165331],"category_scores_gemma":[0.01400791,0.0006462437,0.001523828,0.00236014,0.003953764,0.01103455,0.002921225,0.004162272,0.0009684368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002390023,"about_ca_system_score_gemma":0.001026511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001549292,"about_ca_topic_score_gemma":0.001062349,"domain_scores_codex":[0.9974015,0.0009082079,0.0001324159,0.0004876154,0.0008230084,0.0002472331],"domain_scores_gemma":[0.9928087,0.004194173,0.000602789,0.001213645,0.0007771021,0.0004036354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000003781539,0.000003887649,0.00006001911,0.00001043515,0.000003972971,0.000004581006,0.00002958918,0.002302801,0.00004962911,0.994995,0.0004553442,0.002080882],"study_design_scores_gemma":[0.00000170073,0.000002578841,0.0000583906,0.000003992305,0.000002767632,0.00001062404,0.000006746566,0.01675156,0.00002654798,0.9824417,0.000688587,0.000004720885],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02985275,0.001109918,0.9065527,0.005792145,0.000249212,0.00005380923,0.0006136958,0.0003000463,0.05547567],"genre_scores_gemma":[0.882039,0.001208579,0.0948183,0.0007603305,0.001187823,0.0002909781,0.0007176867,0.0001741788,0.01880316],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01165331,"threshold_uncertainty_score":0.03898418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1417230615109454,"score_gpt":0.4105076396888624,"score_spread":0.268784578177917,"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."}}