{"id":"W4400050572","doi":"10.1007/978-3-031-62821-4_4","title":"Network Structure and Trust Formation in Cryptomarkets Based on Reputation","year":2024,"lang":"en","type":"book-chapter","venue":"","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"BP (Canada)","funders":"","keywords":"Reputation; Business; Psychology; Sociology; Social 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":[0.000943527,0.0002744989,0.0005201026,0.0009253205,0.0007756283,0.002190947,0.0008094547,0.0009030754,0.002321833],"category_scores_gemma":[0.009387192,0.0004193781,0.000373511,0.0009930899,0.001493282,0.005014298,0.0008223041,0.001178217,0.000409879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001646063,"about_ca_system_score_gemma":0.0004261965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002344686,"about_ca_topic_score_gemma":0.002443488,"domain_scores_codex":[0.9994265,0.0002219652,0.00002126459,0.00009883678,0.0001436801,0.00008780503],"domain_scores_gemma":[0.9935841,0.004662782,0.0005298606,0.00047416,0.0005140002,0.000235128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0004446775,0.0001620458,0.01757316,0.0001499217,0.00007794511,0.0004339276,0.001539529,0.2348695,0.005352325,0.6404045,0.007375136,0.09161734],"study_design_scores_gemma":[0.00001471517,0.00006500766,0.003542567,0.00002161779,0.00002715314,0.0001445845,0.0002196779,0.8430689,0.001136445,0.1500137,0.001719075,0.00002654582],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4593062,0.001890962,0.481093,0.002372463,0.0002162606,0.0001039893,0.0002333561,0.0004439975,0.05433976],"genre_scores_gemma":[0.9801997,0.0003185808,0.0126819,0.00002388912,0.00006125643,0.00002059232,0.00004840858,0.00002969385,0.006615943],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002344686,"threshold_uncertainty_score":0.01194304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01019478955385322,"score_gpt":0.2069652309134245,"score_spread":0.1967704413595713,"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."}}