{"id":"W4406741424","doi":"10.1016/j.jbankfin.2025.107394","title":"Stock split signalling: Evidence from short interest","year":2025,"lang":"en","type":"article","venue":"Journal of Banking & Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Stock (firearms); Signalling; Business; Monetary economics; Financial system; Economics; Materials science; Metallurgy; Microeconomics","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":[0.002307604,0.0002460456,0.0003439083,0.0007215955,0.0002247198,0.001116818,0.0004529648,0.0007943118,0.004125284],"category_scores_gemma":[0.02376139,0.0002114218,0.000243558,0.0005940656,0.0007792387,0.00111406,0.001084556,0.0009699201,0.0007846734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001887924,"about_ca_system_score_gemma":0.0001772153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007162297,"about_ca_topic_score_gemma":0.0004331754,"domain_scores_codex":[0.9989079,0.0002484573,0.000136834,0.0001856407,0.0003777461,0.0001434192],"domain_scores_gemma":[0.9319896,0.03239371,0.02766867,0.003296156,0.001847679,0.002804118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00476038,0.0009080294,0.923227,0.0002202754,0.0003000941,0.0005453203,0.001840803,0.0009271319,0.02887591,0.002396161,0.00064869,0.03535017],"study_design_scores_gemma":[0.00006825376,0.001150478,0.9872488,0.00002126211,0.0001208528,0.0003444939,0.0006599863,0.002548061,0.005614379,0.001545382,0.0006511474,0.0000268612],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972894,0.0001227376,0.0004304583,0.00007975125,0.000006265454,0.000008301313,0.00008395118,0.000006827653,0.001972325],"genre_scores_gemma":[0.9992999,0.00005610826,0.0001378212,0.00004325303,0.00002001365,0.00000424893,0.0001469633,0.000002845185,0.0002887273],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004125284,"threshold_uncertainty_score":0.0138005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07871359720454565,"score_gpt":0.2674150561701914,"score_spread":0.1887014589656457,"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."}}