{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003465354,0.0008732071,0.0007261837,0.002307179,0.001482651,0.00257231,0.001672225,0.001771097,0.009328313],"category_scores_gemma":[0.01487135,0.0006783698,0.001361949,0.001710013,0.00405096,0.00756593,0.003154326,0.003421719,0.001173089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002605899,"about_ca_system_score_gemma":0.00108997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004553952,"about_ca_topic_score_gemma":0.004055517,"domain_scores_codex":[0.9977769,0.001061025,0.0001041761,0.0005468765,0.0003745013,0.0001364414],"domain_scores_gemma":[0.9924165,0.005392099,0.0004441576,0.0008301764,0.0005929287,0.0003241315],"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":[0.000006408199,0.000005092833,0.0002079638,0.00003545296,0.0000120748,0.00003287335,0.00006989553,0.02216815,0.0001263368,0.9669595,0.001199874,0.009176368],"study_design_scores_gemma":[0.000002391461,0.000003675501,0.00006339166,0.00001736093,0.000003724196,0.00001731783,0.000009644144,0.03645095,0.00006551429,0.9578441,0.005516442,0.000005424573],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005277033,0.0009645518,0.9723521,0.002054069,0.0001285113,0.00004083451,0.0002731698,0.0001848685,0.01872483],"genre_scores_gemma":[0.4066162,0.005813413,0.5577791,0.002817807,0.001141638,0.000609327,0.001313268,0.0004703268,0.02343891],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009328313,"threshold_uncertainty_score":0.03120631,"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."}}