{"id":"W2009532016","doi":"10.1038/srep02171","title":"Global efficiency of local immunization on complex networks","year":2013,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":111,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Betweenness centrality; Complex network; Mesoscopic physics; Scale (ratio); Measure (data warehouse); Community structure; Complex system; Immunization","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003900567,0.0001190147,0.0001977828,0.0000743899,0.0001843919,0.0001341854,0.0001765541,0.00002712525,0.00144906],"category_scores_gemma":[0.000004798679,0.0001058625,0.000126011,0.0009005617,0.000259795,0.00009667457,0.00009533674,0.00006022489,0.00002400732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003530475,"about_ca_system_score_gemma":0.00003991234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004343508,"about_ca_topic_score_gemma":0.000007589144,"domain_scores_codex":[0.9985391,0.00004310895,0.0004749649,0.0003876087,0.0003198342,0.0002353783],"domain_scores_gemma":[0.9985618,0.000020352,0.0003387359,0.000772736,0.0002414086,0.00006496161],"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":[0.00001098394,0.001170358,0.3928957,0.0000191831,0.0001706926,0.00002010719,0.0001627167,0.1500469,0.003381328,0.04869251,0.2280064,0.1754231],"study_design_scores_gemma":[0.0003326131,0.0001730171,0.1291277,0.0001467335,0.000110585,0.00001830557,0.0004145641,0.5900808,0.009552231,0.2514237,0.01777888,0.0008409143],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4681202,0.00003227888,0.5126573,0.0000305582,0.0007865346,0.0002984058,0.000001819689,0.00007420479,0.01799872],"genre_scores_gemma":[0.9988171,2.245929e-7,0.0006372773,0.000009265012,0.00006977623,0.0000162127,0.0001366955,0.000007066343,0.0003063561],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5306969,"threshold_uncertainty_score":0.9994637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009212425791800403,"score_gpt":0.2496741017135235,"score_spread":0.2404616759217231,"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."}}