{"id":"W4312744654","doi":"10.2139/ssrn.4234609","title":"Alternative Expertise in Financial Markets: An Analysis of Due Diligence Posts on WallStreetBets","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Due diligence; Hedge fund; Financial market; Intermediary; Investment (military); Business; Narrative; Appeal; Stock (firearms); Financial services; Alternative investment; Marketing; Finance; Economics; Market liquidity; Political science","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":[0.001984197,0.0001167499,0.0003842646,0.004001515,0.001686753,0.003960456,0.001066057,0.001014103,0.0215827],"category_scores_gemma":[0.02740788,0.0001614557,0.0002471582,0.003996784,0.001217774,0.004800322,0.002091197,0.000897262,0.001303589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002231409,"about_ca_system_score_gemma":0.001303314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01369849,"about_ca_topic_score_gemma":0.02604549,"domain_scores_codex":[0.9983352,0.000385786,0.00006881397,0.0001270418,0.0006251864,0.0004580131],"domain_scores_gemma":[0.9662557,0.02195154,0.004853122,0.0006856128,0.003490849,0.002763101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.001331539,0.001040627,0.7032836,0.0003388451,0.00009545127,0.003017941,0.0354213,0.007231057,0.001782329,0.09203386,0.00884378,0.1455797],"study_design_scores_gemma":[0.00005689731,0.000401055,0.9030691,0.00016881,0.00005768011,0.0003699884,0.04702585,0.01468117,0.0006511143,0.01652654,0.01693889,0.00005294155],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9702775,0.0001679887,0.0005423441,0.0003158827,0.000008980854,0.00004074735,0.0002623969,0.00001169985,0.02837238],"genre_scores_gemma":[0.9949465,0.00004544635,0.0001659506,0.00001445648,0.00001254251,0.00001303385,0.000133279,0.000007814642,0.00466093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0215827,"threshold_uncertainty_score":0.07220131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00897328551526003,"score_gpt":0.230909893310193,"score_spread":0.221936607794933,"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."}}