{"id":"W4387625431","doi":"10.2139/ssrn.4576194","title":"Signalling Effects of Doing Good in Global ICO Markets","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Regional Development and Management Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Brock University","funders":"","keywords":"Business; Industrial organization; Economics","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":[0.001920318,0.0003359714,0.0007033967,0.0008166306,0.0006362622,0.004296876,0.0005129571,0.002304556,0.0141232],"category_scores_gemma":[0.01536501,0.000321683,0.0004177813,0.0006515482,0.001936124,0.002904173,0.001735952,0.001975721,0.0006975549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001058239,"about_ca_system_score_gemma":0.0005505557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003914697,"about_ca_topic_score_gemma":0.003061741,"domain_scores_codex":[0.9994715,0.0002087122,0.00002636592,0.00007486293,0.00006738374,0.0001512009],"domain_scores_gemma":[0.9817742,0.01129859,0.003804216,0.0008370784,0.0004996127,0.00178635],"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":[0.01240321,0.001424499,0.1248572,0.001072646,0.0005397223,0.003840405,0.006430615,0.1176438,0.03694483,0.5979497,0.02460827,0.07228517],"study_design_scores_gemma":[0.001236633,0.001755342,0.1917486,0.0002856701,0.0006181595,0.0005474768,0.009481502,0.1440409,0.00711347,0.6284373,0.01429708,0.0004378782],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9582663,0.0005450638,0.002353457,0.002216875,0.00007868347,0.00002711832,0.0002653215,0.0001090168,0.03613796],"genre_scores_gemma":[0.9984306,0.0001029927,0.00009615941,0.0000662385,0.00002172466,0.000002414648,0.00002741364,0.000009171881,0.001243261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0141232,"threshold_uncertainty_score":0.04724681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009804140875146238,"score_gpt":0.2071970189189335,"score_spread":0.1973928780437873,"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."}}