{"id":"W4391922180","doi":"10.1080/13873954.2024.2315289","title":"I-SFI model of propagation dynamic based on user’s interest intensity and considering birth and death rate","year":2024,"lang":"en","type":"article","venue":"Mathematical and Computer Modelling of Dynamical Systems","topic":"Opinion Dynamics and Social Influence","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fields Institute for Research in Mathematical Sciences; York University","funders":"National Natural Science Foundation of China","keywords":"Intensity (physics); Computer science; Mathematics; Physics; Optics","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":[0.0001957734,0.0001466461,0.0003630931,0.00005806753,0.00004625708,0.00009528743,0.00005279049,0.00005117953,0.000001449554],"category_scores_gemma":[0.00000265829,0.0001161476,0.00004882807,0.00004846987,0.0001016157,0.00006625811,0.00006861471,0.0001305851,6.127021e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001128785,"about_ca_system_score_gemma":0.00002021215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004781078,"about_ca_topic_score_gemma":7.063807e-7,"domain_scores_codex":[0.9991265,0.00003532811,0.0003695198,0.0002446938,0.00009951391,0.0001244403],"domain_scores_gemma":[0.9995003,0.0001826198,0.00007593147,0.0001060501,0.0000592849,0.0000757801],"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":[0.00001899413,0.0000744292,0.0005508077,0.0012134,0.00004519014,0.000001037642,0.0003091065,0.2850898,0.0002016741,0.7115349,0.000001025893,0.0009596065],"study_design_scores_gemma":[0.0001414789,0.00006894651,0.00004572044,0.0009229366,0.00001817285,0.000001526763,0.00004219352,0.942798,0.00001550041,0.05583485,0.000001212145,0.0001094437],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4781595,0.00002749778,0.5215613,0.00003761885,0.00003609966,0.0001078674,0.00001910802,0.00001344478,0.00003764293],"genre_scores_gemma":[0.9939549,0.00000531074,0.00595481,0.0000104519,0.00002272373,0.000007089056,0.0000060274,0.00001312033,0.00002555101],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6577082,"threshold_uncertainty_score":0.4736364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04285945999011034,"score_gpt":0.2524514827787036,"score_spread":0.2095920227885933,"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."}}