{"id":"W2597928294","doi":"10.1111/coin.12101","title":"On Darwinian Networks","year":2017,"lang":"en","type":"article","venue":"Computational Intelligence","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Inference; Computer science; Simple (philosophy); Bayesian network; Artificial intelligence; Theoretical computer science; Machine learning","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0002052436,0.0001267567,0.0001077397,0.00005285528,0.0005982781,0.0006488777,0.001887072,0.00005446904,0.00003262315],"category_scores_gemma":[0.0001285957,0.0001206099,0.00005312039,0.00007138059,0.0001114634,0.0003937076,0.0002521299,0.0001888677,0.0003657202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002283406,"about_ca_system_score_gemma":0.00006446475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001313881,"about_ca_topic_score_gemma":0.000001942086,"domain_scores_codex":[0.9989184,0.00002882379,0.0001926864,0.0003786101,0.0002626205,0.0002188336],"domain_scores_gemma":[0.9986684,0.0002086199,0.000128525,0.000739604,0.0001451588,0.000109729],"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":[0.000002154478,0.00001871142,0.00004282186,0.000001052584,0.000003724096,0.000006837753,0.00004275377,0.3749027,8.649324e-7,0.5438707,0.0003488238,0.0807588],"study_design_scores_gemma":[0.0000242337,0.00004259135,0.001591565,0.00002351876,8.721992e-7,0.000006420541,0.000001894354,0.6977513,0.00006039467,0.3002725,0.0001178077,0.0001069921],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.000974193,0.00004061657,0.9869461,0.001228286,0.000567135,0.00005687261,0.000001170705,0.0001184073,0.01006723],"genre_scores_gemma":[0.9462886,0.000008397373,0.05259097,0.0008425995,0.00008364053,0.000006263942,0.000002821914,0.000006092944,0.0001705761],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9453145,"threshold_uncertainty_score":0.6257142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05302418717932137,"score_gpt":0.3238600684726603,"score_spread":0.2708358812933389,"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."}}