{"id":"W3196633230","doi":"","title":"Fin-Tech As a Destructive Force in the Field of Local Economic Development","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Optimism; Industrial Revolution; Poverty; Disadvantage; High tech; Fin; Sustainability; Economics; Poverty reduction; Development economics; Business; Economic system; Political science; Economic growth; Engineering; Law; Mechanical engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.000963441,0.0001351753,0.0001531884,0.0001996099,0.0001413299,0.0001185869,0.0004663794,0.00006120562,0.00005871205],"category_scores_gemma":[0.00009821334,0.0001058991,0.00006006925,0.0002438651,0.00009873018,0.0006475166,0.0000919615,0.000676553,0.0002101213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004840285,"about_ca_system_score_gemma":0.0007435398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003392547,"about_ca_topic_score_gemma":0.004588595,"domain_scores_codex":[0.9983441,0.000008401921,0.0003268411,0.0001636195,0.0001526149,0.001004425],"domain_scores_gemma":[0.9994811,0.00006099003,0.00025728,0.000126382,0.00006813768,0.000006095832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000170529,0.0000586182,0.007735907,0.00002462709,0.00006015755,0.000007812587,0.0002368435,0.00002513423,0.0001269926,0.8924628,0.0006919403,0.09839857],"study_design_scores_gemma":[0.001065959,0.0003335028,0.00853535,0.0001542167,0.00002713944,0.0002723215,0.004255254,0.0005258151,0.004262776,0.95024,0.02991013,0.0004175465],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9701192,0.000157745,0.01244656,0.0007085694,0.0001672758,0.0001323812,2.447999e-7,0.00001544644,0.01625251],"genre_scores_gemma":[0.9985372,0.00003330618,0.00006940726,0.0005902472,0.0004017321,0.000006557171,0.000001188196,0.00001488166,0.0003454727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09798102,"threshold_uncertainty_score":0.4318438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006648380794146767,"score_gpt":0.2330920514261273,"score_spread":0.2264436706319805,"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."}}