{"id":"W2124137748","doi":"10.1111/1467-8640.t01-1-00201","title":"Reputation Formalization for an Information–Sharing Multi–Agent System","year":2002,"lang":"en","type":"article","venue":"Computational Intelligence","topic":"Opinion Dynamics and Social Influence","field":"Physics and Astronomy","cited_by":98,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reputation; Computer science; Sensibility; Multidisciplinary approach; Reputation system; Relation (database); Information sharing; Knowledge management; World Wide Web; Data mining; Sociology; Political science","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":[0.0001326408,0.0001010736,0.00009429055,0.00006918248,0.0002746172,0.0001647014,0.0001570484,0.00003086969,0.00007793249],"category_scores_gemma":[0.00001250661,0.0001106547,0.00006029845,0.0001451609,0.00002630797,0.001005727,0.00002693956,0.00005289564,0.00009752707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005722312,"about_ca_system_score_gemma":0.00001694448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004961888,"about_ca_topic_score_gemma":0.000001341025,"domain_scores_codex":[0.999161,0.0000147668,0.0003718344,0.0001537129,0.0001517948,0.0001468974],"domain_scores_gemma":[0.9992222,0.00005660794,0.0001707968,0.0001053104,0.000378813,0.00006632254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000287985,0.00003888712,0.001332625,0.00002560168,0.00001173554,4.4509e-8,0.001276098,0.5436435,0.000001853878,0.4310393,0.00006830153,0.02255908],"study_design_scores_gemma":[0.0001079381,0.00003469417,0.0005893075,0.00002403267,0.000005771231,6.88901e-7,0.001025924,0.9848393,0.00004978959,0.0125049,0.0006891528,0.0001285568],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01199949,0.00001356597,0.9856959,0.00003678793,0.000260628,0.0003304493,0.00006450368,0.00006451608,0.001534153],"genre_scores_gemma":[0.9797894,0.000001303538,0.01936006,0.00007627883,0.0001126608,0.00007735413,0.0004844781,0.000008356175,0.00009010378],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9677899,"threshold_uncertainty_score":0.4512367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06398183211286278,"score_gpt":0.3200983920745432,"score_spread":0.2561165599616804,"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."}}