{"id":"W2799472749","doi":"10.1002/sim.7658","title":"Exposure, hazard, and survival analysis of diffusion on social networks","year":2018,"lang":"en","type":"article","venue":"Statistics in Medicine","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Yale Center for Clinical Investigation, Yale School of Medicine; Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Center for Advancing Translational Sciences; National Institute of Mental Health; Canadian Institutes of Health Research; National Institute on Aging; National Institutes of Health; Yale University; Bill and Melinda Gates Foundation","keywords":"Social network (sociolinguistics); Psychological intervention; Realization (probability); Diffusion; Computer science; Population; Social network analysis; Relevance (law); Diffusion of innovations; Intervention (counseling); Process (computing); Econometrics; Actuarial science; Data science; Psychology; Statistics; Business; Sociology; Economics; Marketing; Demography; Mathematics; Political science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003637666,0.0001141603,0.0004837171,0.0002691583,0.00006901706,0.000005312097,0.00009289323,0.00003071035,0.000427665],"category_scores_gemma":[0.00002347579,0.00009593859,0.00003881133,0.0007254826,0.0003111597,0.00001260587,0.00005087767,0.0001275838,7.433458e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001361434,"about_ca_system_score_gemma":0.000008632656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004342434,"about_ca_topic_score_gemma":0.0003686608,"domain_scores_codex":[0.9990142,0.00008227518,0.0003374629,0.0001900675,0.0002195739,0.0001564233],"domain_scores_gemma":[0.9992856,0.0002626445,0.0001462071,0.00016508,0.000100556,0.00003993633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009711486,0.0001823017,0.5554659,0.0000115773,0.00096366,0.000004167041,0.001063534,0.0001264008,0.0002505753,0.2974348,0.01045416,0.1339458],"study_design_scores_gemma":[0.001010892,0.0004594756,0.8546743,0.00006695902,0.001273505,7.377491e-8,0.0004190232,0.1098629,0.00003634306,0.0312094,0.0007656762,0.0002214559],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4136183,0.00006222368,0.5781394,0.0001171742,0.0001471215,0.000125485,0.000108887,0.00002193517,0.007659453],"genre_scores_gemma":[0.9969422,0.00001856634,0.002143134,0.00003538524,0.0006208872,0.000004488977,0.0001650884,0.000008913207,0.00006131317],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.583324,"threshold_uncertainty_score":0.4682631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0185726490180078,"score_gpt":0.3250945896686768,"score_spread":0.306521940650669,"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."}}