{"id":"W1509293665","doi":"10.3386/w16855","title":"Learning by Doing with Asymmetric Information: Evidence from Prosper.com","year":2011,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":112,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Psychology","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":[0.01127539,0.0003432504,0.0005491637,0.001901575,0.001906378,0.002510586,0.001227458,0.001970048,0.01600213],"category_scores_gemma":[0.06595486,0.0003416062,0.0003416657,0.002472871,0.002266164,0.005205739,0.002535233,0.002533915,0.003817236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006584112,"about_ca_system_score_gemma":0.000987067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005795472,"about_ca_topic_score_gemma":0.007617338,"domain_scores_codex":[0.9955052,0.002063213,0.0002187186,0.0004170991,0.001457171,0.0003385426],"domain_scores_gemma":[0.8429198,0.0990251,0.03511564,0.01005752,0.008419659,0.004462314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004625167,0.007653705,0.4938104,0.001245025,0.0005462326,0.00198251,0.008361816,0.002029048,0.0007141487,0.02987789,0.1058898,0.3432641],"study_design_scores_gemma":[0.001743674,0.003536807,0.7093005,0.001268049,0.0005235745,0.003280108,0.01171415,0.009493629,0.003732774,0.04737932,0.2077994,0.0002279975],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8418938,0.003568976,0.002178781,0.0145074,0.0001063375,0.0002403715,0.003862472,0.0001268728,0.1335149],"genre_scores_gemma":[0.9799673,0.003331809,0.001860375,0.002076105,0.0002195806,0.0001258882,0.002335676,0.00006669189,0.01001645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01600213,"threshold_uncertainty_score":0.05963069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2283412831518837,"score_gpt":0.4115173699492984,"score_spread":0.1831760867974147,"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."}}