{"id":"W3011191765","doi":"10.1145/3380928","title":"Continuous Influence Maximization","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Knowledge Discovery from Data","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Maximization; Computer science; Benchmark (surveying); Mathematical optimization; Product (mathematics); Function (biology); Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.00005888738,0.0001957936,0.0002545568,0.00005110533,0.0001532374,0.0001660945,0.001343951,0.00003772815,0.0007697274],"category_scores_gemma":[0.00001747044,0.0001978903,0.00009920794,0.0004007712,0.00005185266,0.001015736,0.00009347358,0.0002288495,0.0002676182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001843756,"about_ca_system_score_gemma":0.00005631896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003438765,"about_ca_topic_score_gemma":0.00005808832,"domain_scores_codex":[0.9987658,0.00006299142,0.0002770284,0.0005761653,0.0001301593,0.0001879038],"domain_scores_gemma":[0.997926,0.0001631705,0.00008436337,0.001667766,0.00005855365,0.0001001759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004430906,0.002973827,0.04091348,0.00005839509,0.002336318,0.00001189409,0.002935169,0.01683095,0.008597204,0.005833457,0.04973526,0.8693309],"study_design_scores_gemma":[0.008153361,0.001112345,0.03485236,0.0008486583,0.004612334,0.000003164554,0.003751653,0.3152237,0.08678443,0.09504409,0.4429159,0.006698043],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05628267,0.00008864502,0.9383768,0.0005560277,0.00008491256,0.0001966516,0.002939262,0.0001702141,0.001304808],"genre_scores_gemma":[0.9926208,0.00001625906,0.004185059,0.0001679816,0.0002576445,0.00002613808,0.002502604,0.00002696629,0.0001966059],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9363381,"threshold_uncertainty_score":0.8427975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04107850160594025,"score_gpt":0.291683042845804,"score_spread":0.2506045412398638,"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."}}