{"id":"W1981377410","doi":"10.1145/2020408.2020492","title":"Sparsification of influence networks","year":2011,"lang":"en","type":"article","venue":"","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":152,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Kempe Foundation","keywords":"Computer science; Cascade; Theoretical computer science; Graph; Algorithm; Artificial intelligence","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":[0.0000563072,0.00004164541,0.00007445685,0.00002464912,0.00001494796,0.000003042516,0.0001030025,0.00001011683,0.001113326],"category_scores_gemma":[6.26211e-7,0.00003724239,0.0000423557,0.0001264013,0.00002403019,0.0000496274,0.00002422654,0.0000324694,0.000008162066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002397763,"about_ca_system_score_gemma":0.000004501199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004470789,"about_ca_topic_score_gemma":0.000003021383,"domain_scores_codex":[0.9996787,0.00001038335,0.0001277635,0.00007519642,0.00003922318,0.00006873493],"domain_scores_gemma":[0.9996669,0.00001005364,0.00006780643,0.0001895705,0.00004783311,0.00001779339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005083959,0.00008564562,0.6769429,0.000001299146,0.00004361214,6.25213e-8,0.0001169949,0.0008516382,0.0004057418,0.2980766,0.001095473,0.02237488],"study_design_scores_gemma":[0.0002037365,0.00007058848,0.7959408,0.00002802729,0.0000915656,1.6005e-7,0.0001693337,0.06381533,0.04798258,0.08935805,0.00199505,0.000344793],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2953185,0.00000990509,0.5716069,0.000005505193,0.000009192609,0.00005829309,5.134564e-7,0.00004319063,0.132948],"genre_scores_gemma":[0.9941083,0.000001143909,0.005700023,0.000009236368,0.00003091194,0.000006428199,0.000004191774,0.000003336332,0.0001363986],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6987899,"threshold_uncertainty_score":0.9997998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0232945155324907,"score_gpt":0.2336198565520808,"score_spread":0.2103253410195901,"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."}}