{"id":"W4250366394","doi":"10.1007/978-1-4939-7131-2_101116","title":"Social Influence Propagation Model","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Opinion Dynamics and Social Influence","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Business; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006367229,0.0007095368,0.0007639672,0.0008383368,0.0009234674,0.001611456,0.001729296,0.002020068,0.01452436],"category_scores_gemma":[0.003891202,0.0002897735,0.000725743,0.0009762145,0.0008952509,0.002676051,0.0009417986,0.001601648,0.003503247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001215536,"about_ca_system_score_gemma":0.0009542056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006745705,"about_ca_topic_score_gemma":0.003704599,"domain_scores_codex":[0.9996058,0.0001173137,0.000009725831,0.00008701728,0.0001176559,0.00006247407],"domain_scores_gemma":[0.9991238,0.0004822536,0.00005395524,0.00008268377,0.0001844253,0.00007303918],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002850928,0.00006203498,0.0004284747,0.00008086644,0.00003679912,0.0001279006,0.0001638945,0.09282301,0.0004049068,0.8557833,0.02439049,0.02566977],"study_design_scores_gemma":[0.0000195727,0.00001510484,0.0002442535,0.00002409735,0.00002557387,0.00008378096,0.00003920699,0.5658119,0.0001830671,0.4166413,0.01689377,0.00001835507],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03937596,0.00183262,0.6125227,0.00636845,0.0007885149,0.0001850983,0.001550666,0.0005719336,0.336804],"genre_scores_gemma":[0.6637142,0.003577633,0.0496861,0.0009699218,0.0008731982,0.0004281921,0.001370143,0.00023175,0.2791488],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01452436,"threshold_uncertainty_score":0.04858887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01976670665491119,"score_gpt":0.2766756875356078,"score_spread":0.2569089808806966,"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."}}