{"id":"W2137907137","doi":"10.1109/cec.2011.5949698","title":"Comparison of evolved epidemic networks with diffusion characters","year":2011,"lang":"en","type":"article","venue":"","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Character (mathematics); Diffusion; Computer science; Degree (music); Epidemic model; Variety (cybernetics); Artificial intelligence; Space (punctuation); Mathematics; Algorithm; Physics; Demography","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009741341,0.0001214596,0.0003301855,0.0000509253,0.00004066524,0.000005856014,0.0001595412,0.00002481561,0.001252036],"category_scores_gemma":[7.013305e-7,0.00008828754,0.00009255396,0.0001726217,0.00005040985,0.00006100774,0.00005617633,0.0001153603,0.000005873665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007928009,"about_ca_system_score_gemma":0.000007618673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006546138,"about_ca_topic_score_gemma":0.00002346906,"domain_scores_codex":[0.9992533,0.00003499827,0.0002806502,0.000163425,0.00009249889,0.0001751554],"domain_scores_gemma":[0.9993711,0.00004035075,0.0002027658,0.0002810612,0.00005286038,0.00005190789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003372346,0.0001877303,0.9820001,0.000002066813,0.00008130389,1.424897e-7,0.0001929626,0.00008953092,0.0005009701,0.007514806,0.0008582989,0.008538434],"study_design_scores_gemma":[0.0007289483,0.0003703718,0.7186866,0.0001255097,0.0002697729,4.041024e-7,0.0006416534,0.260104,0.01374338,0.003746682,0.0009777142,0.0006049125],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6849607,0.00002154944,0.2921502,0.00001129284,0.00001845191,0.0001236916,8.407487e-7,0.00007043976,0.02264282],"genre_scores_gemma":[0.9933702,0.00000154676,0.006294174,0.00001749161,0.00007262849,0.0000118733,0.00002698745,0.00001253323,0.0001925634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3084095,"threshold_uncertainty_score":0.999661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0385673866086161,"score_gpt":0.2908965094830822,"score_spread":0.2523291228744661,"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."}}