{"id":"W2042857706","doi":"10.1371/journal.pone.0122777","title":"Generating Attributed Networks with Communities","year":2015,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates","keywords":"Computer science; Task (project management); Set (abstract data type); Community structure; Focus (optics); Generator (circuit theory); Data science; Biological network; Complex network; Data mining; Network analysis; Theoretical computer science; Bioinformatics; World Wide Web; Biology; Ecology; Engineering","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":[0.0001516407,0.0001075839,0.0002210935,0.00003306865,0.0001085759,0.00006226282,0.0001568148,0.0000184486,0.0001460143],"category_scores_gemma":[0.000001725932,0.00009391764,0.00003077532,0.0001817179,0.00003910758,0.00007209508,0.00008393517,0.0001674261,0.00000986994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001903906,"about_ca_system_score_gemma":0.0000223834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004962253,"about_ca_topic_score_gemma":0.00009702687,"domain_scores_codex":[0.9993452,0.00007378542,0.00013334,0.00008682247,0.0001738101,0.0001870687],"domain_scores_gemma":[0.9993448,0.00004264012,0.00007007673,0.0003035909,0.0001629362,0.00007596778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006780624,0.002788596,0.911184,0.00001831822,0.002981888,0.000003989308,0.001418874,0.05111292,0.0008722415,0.009888318,0.01195114,0.007711872],"study_design_scores_gemma":[0.0008867231,0.0002652625,0.0008723892,0.0002385348,0.0005231614,5.761457e-7,0.001536037,0.9877632,0.004397929,0.001974752,0.0009759379,0.0005655505],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8826535,0.0001010551,0.110575,0.00009289892,0.000007346275,0.0001497332,0.000006882775,0.0001891914,0.006224404],"genre_scores_gemma":[0.973155,0.000001753343,0.02599862,0.00005854645,0.0003306578,0.0000389805,0.0001625727,0.00001786966,0.0002360206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9366502,"threshold_uncertainty_score":0.382985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08606062182673915,"score_gpt":0.2430527974756576,"score_spread":0.1569921756489184,"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."}}