{"id":"W3189263697","doi":"10.1007/s12652-021-03374-8","title":"Gravity algorithm for the community detection of large-scale network","year":2021,"lang":"en","type":"article","venue":"Journal of Ambient Intelligence and Humanized Computing","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Computational intelligence; Scale (ratio); Algorithm; Artificial intelligence; Physics","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":[0.001311506,0.00009672493,0.0002968829,0.00004079743,0.0005891498,0.00005989975,0.0002136931,0.0000225209,0.00002747231],"category_scores_gemma":[0.00001296327,0.00007449459,0.00023911,0.0002027383,0.00005434184,0.00006041633,0.0001492746,0.0003702766,2.436394e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000158739,"about_ca_system_score_gemma":0.00002688618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006339431,"about_ca_topic_score_gemma":0.00004500408,"domain_scores_codex":[0.9989139,0.0001573739,0.0005286398,0.00008289498,0.0001418479,0.0001752952],"domain_scores_gemma":[0.9981997,0.000536514,0.0005532468,0.000179905,0.0004937101,0.00003689996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003509812,0.000365717,0.003465116,0.00002534397,0.0004112205,0.00000140762,0.002411692,0.004630109,0.001984059,0.005514302,0.000245138,0.9809108],"study_design_scores_gemma":[0.0007705594,0.0006854551,0.005203985,0.0004742806,0.0006664271,0.00004298591,0.0142576,0.7152712,0.1292814,0.1262398,0.006702403,0.0004039395],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1968096,0.0004092473,0.8024992,0.00002226229,0.0001327132,0.00007448469,0.000002627134,0.000006034879,0.0000438862],"genre_scores_gemma":[0.9749271,0.0000337063,0.02443915,0.00003575766,0.0005364903,0.000001237714,0.000003104222,0.000007396438,0.00001609755],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9805068,"threshold_uncertainty_score":0.4531324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02750792853298602,"score_gpt":0.3034913464251229,"score_spread":0.2759834178921369,"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."}}