{"id":"W3194443443","doi":"10.1108/ijebr-01-2021-0081","title":"Equity crowdfunding platforms and social media: a Twitter analysis","year":2021,"lang":"en","type":"article","venue":"International Journal of Entrepreneurial Behaviour & Research","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Social media; Dissemination; Equity (law); Originality; Quarter (Canadian coin); Value (mathematics); Business; Social network (sociolinguistics); Microblogging; Advertising; Marketing; World Wide Web; Sociology; Computer science; Political science; Telecommunications; Social science; Qualitative research","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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001632358,0.0001803923,0.000380207,0.001525658,0.0002116124,0.001586995,0.000752153,0.0001192228,0.0007444241],"category_scores_gemma":[0.001182004,0.0001675211,0.000342987,0.001090039,0.0001954956,0.001699727,0.001372911,0.0006689091,0.00005894016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001986283,"about_ca_system_score_gemma":0.00012979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001331178,"about_ca_topic_score_gemma":0.000186084,"domain_scores_codex":[0.9963902,0.00003059649,0.0006880458,0.0003641799,0.002055832,0.0004711001],"domain_scores_gemma":[0.9965101,0.0002965502,0.0004597685,0.0001554315,0.002534839,0.00004327641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008168421,0.0006894975,0.9257342,0.0000672945,0.001331805,0.003966726,0.001084309,0.00008095362,0.009302031,0.02987448,0.007671426,0.01938043],"study_design_scores_gemma":[0.007261446,0.0001058782,0.8773698,0.0004388634,0.001426154,0.0006021255,0.002912805,0.0008261405,0.01309131,0.0687288,0.02600331,0.001233379],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934747,0.0001033097,0.0002504045,0.002037874,0.001480946,0.00006854572,0.00001692354,0.00002101299,0.002546323],"genre_scores_gemma":[0.9956018,0.00003181257,0.00008959571,0.0001979704,0.003691195,0.00000439158,0.00004495799,0.00002386456,0.0003144608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04836441,"threshold_uncertainty_score":0.9994494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1183331468098409,"score_gpt":0.3861548095015983,"score_spread":0.2678216626917574,"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."}}