{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001905221,0.0001688746,0.0003193947,0.00002353309,0.00006815864,0.00002099426,0.0001586122,0.000008694637,0.0002336973],"category_scores_gemma":[0.00001174489,0.0001314185,0.0001943567,0.0002343028,0.00003117106,0.0002811672,0.00004095919,0.000183458,0.0001104434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006507413,"about_ca_system_score_gemma":0.000009566801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008149165,"about_ca_topic_score_gemma":8.225682e-7,"domain_scores_codex":[0.9990125,0.0001635299,0.0001516167,0.0002255766,0.0001830566,0.0002637746],"domain_scores_gemma":[0.9992614,0.0000751245,0.0001303798,0.0003147144,0.00009388637,0.0001245152],"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":[0.000009423283,0.001141371,0.001727585,0.00003330971,0.0001311013,2.646109e-7,0.0003923164,0.0001993006,0.00008115346,0.8924301,0.002279922,0.1015741],"study_design_scores_gemma":[0.001424458,0.002019653,0.02322049,0.006902504,0.002479891,0.000003145145,0.001060082,0.3276617,0.0108407,0.5373272,0.08288983,0.004170324],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2823125,0.0254808,0.4046414,0.002098854,0.0005622949,0.005448539,0.00004646787,0.0009337552,0.2784755],"genre_scores_gemma":[0.9965187,0.00023763,0.0001721051,0.0002720378,0.002594456,0.0001158633,0.00003580008,0.0000186445,0.00003478454],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7142062,"threshold_uncertainty_score":0.5359091,"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."}}