{"id":"W4392372430","doi":"10.1111/jfir.12392","title":"How does the JOBS act affect the rule 144A market?","year":2024,"lang":"en","type":"article","venue":"The Journal of Financial Research","topic":"Credit Risk and Financial Regulations","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Affect (linguistics); Business; Psychology; Communication","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002866319,0.00009634106,0.0004527373,0.0005574187,0.0007314838,0.003278855,0.0005885434,0.001407019,0.007073317],"category_scores_gemma":[0.0189672,0.0001660245,0.0004575754,0.0005238855,0.001252138,0.0009856904,0.0008411022,0.001861429,0.0008913149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009225616,"about_ca_system_score_gemma":0.001183263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006375385,"about_ca_topic_score_gemma":0.009732037,"domain_scores_codex":[0.9977174,0.0005451157,0.0001650909,0.0003034741,0.0007892446,0.0004797003],"domain_scores_gemma":[0.950042,0.01356885,0.03109649,0.0009379988,0.001406956,0.002947676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009982173,0.001339871,0.9494045,0.00008098126,0.0001786669,0.0004604213,0.0007718169,0.002662141,0.002469034,0.009733617,0.005147232,0.02675343],"study_design_scores_gemma":[0.00003747055,0.0003699371,0.9901226,0.00002283403,0.00004235131,0.00004832429,0.0008719395,0.001022169,0.0008883987,0.001471738,0.005078679,0.00002355042],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889882,0.0003353965,0.0002599741,0.001813531,0.00006857998,0.00002540472,0.0002548816,0.00001283047,0.008241087],"genre_scores_gemma":[0.9966758,0.00007995358,0.00007042795,0.0003560037,0.0001005532,0.0000135372,0.0001178721,0.000004634307,0.002581196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007073317,"threshold_uncertainty_score":0.02366257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07118199380705154,"score_gpt":0.3234729397310281,"score_spread":0.2522909459239766,"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."}}