{"id":"W2905398495","doi":"10.3968/10607","title":"Study of Exploring Hidden Relationship Among Commercial Bank Customers Based on Complex Network Theory","year":2018,"lang":"en","type":"article","venue":"Canadian social science","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Database transaction; Complex network; Computer science; Transaction cost; Transaction data; Customer relationship management; Business; Transfer (computing); Marketing; Finance; World Wide Web; Database","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007600877,0.0002047592,0.0002460564,0.001179047,0.0004667962,0.0009010608,0.0004303277,0.0004049296,0.001541767],"category_scores_gemma":[0.004856834,0.0001633447,0.0002269427,0.001311453,0.0005793499,0.003746636,0.0005137349,0.0005856145,0.00009579517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006194908,"about_ca_system_score_gemma":0.0003593882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003322084,"about_ca_topic_score_gemma":0.002558044,"domain_scores_codex":[0.9995229,0.0002218725,0.00001538347,0.0001012226,0.00009491265,0.00004368607],"domain_scores_gemma":[0.9969245,0.002303157,0.000347953,0.0001119779,0.0002161308,0.00009630084],"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":[0.0002397993,0.000410048,0.2493007,0.0006259034,0.0003974689,0.0017454,0.01406685,0.1566967,0.01009358,0.357564,0.005298052,0.2035614],"study_design_scores_gemma":[0.00001260979,0.0001014167,0.0554627,0.00005237071,0.00007598479,0.0003956698,0.003652291,0.832942,0.00122211,0.1023187,0.003717243,0.00004697208],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7895643,0.0005971706,0.2002264,0.001307306,0.00002000674,0.0000586291,0.0002291287,0.00004808237,0.007948899],"genre_scores_gemma":[0.9895483,0.0002486476,0.009412948,0.00003199348,0.00001405457,0.00002556465,0.00006482069,0.000004670388,0.000649012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003322084,"threshold_uncertainty_score":0.006605506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07335119109020341,"score_gpt":0.3052610904465862,"score_spread":0.2319098993563828,"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."}}