{"id":"W6943659306","doi":"10.17605/osf.io/dwtx6","title":"Bibliometric Analysis of the Machine Learning Applications in Fraud Detection on Crowdfunding Platforms","year":2024,"lang":"en","type":"article","venue":"Open Science Framework","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Publishing; Investment (military); Digital advertising; Artificial neural network; Equity (law); Random forest; Seed money; Bibliometrics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.02306707,0.0007639403,0.002014404,0.1302032,0.001130795,0.004479141,0.00147584,0.001033653,0.005199559],"category_scores_gemma":[0.1410528,0.000346763,0.002607556,0.1739738,0.001059069,0.003734858,0.002157329,0.0009527399,0.001409662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002549984,"about_ca_system_score_gemma":0.005393106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009330922,"about_ca_topic_score_gemma":0.0114019,"domain_scores_codex":[0.9683065,0.008884315,0.007945585,0.001895611,0.01208773,0.0008801857],"domain_scores_gemma":[0.7672834,0.1503483,0.04187385,0.005673277,0.03344237,0.001378771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004185447,0.0002215056,0.5121751,0.04235417,0.004181495,0.0009217472,0.003785672,0.005115454,0.001055667,0.01445743,0.04713236,0.3681808],"study_design_scores_gemma":[0.00009498469,0.00022043,0.7296119,0.01494985,0.007038594,0.001964638,0.005172075,0.01178503,0.002799378,0.01130436,0.2148034,0.0002554873],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4753975,0.2257723,0.01716315,0.01091807,0.000900681,0.001914145,0.1624594,0.0009102834,0.1045644],"genre_scores_gemma":[0.8920515,0.05119323,0.01150795,0.000596127,0.0007132944,0.001114101,0.03821333,0.0001199737,0.004490423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8697968,"threshold_uncertainty_score":0.1219918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0279173345542434,"score_gpt":0.3062840258799778,"score_spread":0.2783666913257344,"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."}}