{"id":"W2291682920","doi":"10.1145/2808797.2808904","title":"Network vs Market Relations","year":2015,"lang":"en","type":"article","venue":"","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"Army Research Laboratory; Defense Advanced Research Projects Agency","keywords":"Reciprocity (cultural anthropology); Crowds; Loan; Social capital; Business; Financial market; Interpersonal ties; Trustworthiness; Economics; Monetary economics; Microeconomics; Finance; Sociology; Social psychology; Computer science; Psychology; Computer security","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002749642,0.0001049417,0.0001033546,0.0000803036,0.00008818491,0.0002988862,0.0001641846,0.00004851924,0.0009293185],"category_scores_gemma":[0.0002330132,0.00009730036,0.00003664052,0.0005423286,0.00003283274,0.00145193,0.0001658482,0.00008400618,0.004291677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003150481,"about_ca_system_score_gemma":0.00001646114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001367266,"about_ca_topic_score_gemma":0.00008532451,"domain_scores_codex":[0.9992502,0.000002479913,0.0001627923,0.0001751144,0.0001553817,0.0002540715],"domain_scores_gemma":[0.9995895,0.00002478779,0.00008604671,0.0001774558,0.0001099346,0.0000122961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001472612,0.00001303419,0.03913004,0.000006756313,0.000003248767,0.000003316143,0.000002892726,0.0001020517,9.166537e-7,0.1729848,0.7868996,0.0008386879],"study_design_scores_gemma":[0.0002134878,0.000005568335,0.0234371,0.0000238031,0.000009287513,0.000001353531,0.00002696285,0.004817765,0.000001841827,0.05598323,0.91531,0.0001695723],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01402516,0.00004941958,0.004445653,0.001900801,0.0005428202,0.0001175912,6.384507e-7,0.0003235854,0.9785943],"genre_scores_gemma":[0.9115927,7.288871e-7,0.001103708,0.00272703,0.001165103,0.00001055814,0.00001308186,0.00002270122,0.08336438],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8975676,"threshold_uncertainty_score":0.999984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03007386639048378,"score_gpt":0.2131439927607858,"score_spread":0.183070126370302,"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."}}