{"id":"W1992680141","doi":"10.1103/physreve.85.031118","title":"Propagation on networks: An exact alternative perspective","year":2012,"lang":"en","type":"article","venue":"Physical Review E","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":19,"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":"Computer science; Simple (philosophy); Branching process; Process (computing); Statistical physics; Perspective (graphical); Markov process; Class (philosophy); Markov chain; Gaussian; Applied mathematics; Mathematical optimization; Theoretical computer science; Mathematics; Artificial intelligence; Machine learning; Physics; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001532543,0.0008726133,0.0008135572,0.001793122,0.0006806316,0.002363756,0.002238216,0.001598522,0.005269168],"category_scores_gemma":[0.006115007,0.0004514983,0.001117349,0.001375334,0.001919626,0.005983075,0.001687877,0.001978473,0.0008419128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001550777,"about_ca_system_score_gemma":0.0009485748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003160479,"about_ca_topic_score_gemma":0.002379811,"domain_scores_codex":[0.9991628,0.0002516582,0.00003726086,0.0001036469,0.0003697337,0.00007487094],"domain_scores_gemma":[0.9982151,0.0009455804,0.0001462295,0.0003710056,0.0002591697,0.00006292264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000002866751,0.000007152222,0.00006599296,0.00002688256,0.000006052209,0.00003463723,0.00003087514,0.03932053,0.000143628,0.9567361,0.0004719121,0.003153219],"study_design_scores_gemma":[0.000004835714,0.000004971054,0.00004059197,0.00001203521,0.000004350145,0.00004260738,0.00001268164,0.2458497,0.00007450877,0.7510434,0.002904421,0.000005831638],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00933082,0.001298574,0.9496362,0.002274183,0.0003688605,0.0000344521,0.0002286639,0.0001152942,0.03671285],"genre_scores_gemma":[0.6165488,0.008295755,0.3268346,0.001545764,0.002154596,0.0003767497,0.0004861714,0.0003586638,0.04339892],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005269168,"threshold_uncertainty_score":0.01762712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02712553485887104,"score_gpt":0.361384377165234,"score_spread":0.3342588423063629,"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."}}