{"id":"W1799428430","doi":"","title":"Canadian Stock Splits and Financial Analyst Forecasts: Testing Signaling and Attention Effects","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton; Université du Québec à Montréal","funders":"","keywords":"Earnings; Efficient-market hypothesis; Stock (firearms); Stock market; Economics; Financial economics; Monetary economics; Financial market; Event study; Econometrics; Business; Finance; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00202909,0.000495741,0.0003943244,0.001366155,0.000822545,0.001046873,0.0005770983,0.0006371514,0.002840095],"category_scores_gemma":[0.0164803,0.0001905871,0.0005197176,0.001546124,0.0005887247,0.0006305871,0.0005048621,0.00067378,0.0002139316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005973418,"about_ca_system_score_gemma":0.006172861,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8748501,"about_ca_topic_score_gemma":0.8225795,"domain_scores_codex":[0.9988461,0.000146825,0.00004656303,0.0001512913,0.0005633174,0.0002459447],"domain_scores_gemma":[0.9829076,0.007253043,0.005287431,0.0005532792,0.002672641,0.001325989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009199107,0.0001074284,0.9816144,0.00003673836,0.0001915245,0.000124736,0.0007169366,0.001537776,0.0009020375,0.0005559632,0.0009124904,0.01237994],"study_design_scores_gemma":[0.00001617132,0.00008874451,0.9944586,0.000005528671,0.0000849408,0.0000169566,0.0003227547,0.004026203,0.000366559,0.00008078284,0.0005163496,0.00001632275],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967434,0.0001812681,0.000147869,0.0002286809,0.00001078297,0.00001356303,0.0004071613,0.000008020257,0.002259291],"genre_scores_gemma":[0.9986003,0.0001111465,0.00008848988,0.00002682451,0.00001546039,0.00000379333,0.0004477968,0.00000213857,0.0007040208],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1251499,"threshold_uncertainty_score":0.2517738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01433429206511389,"score_gpt":0.2007219961080493,"score_spread":0.1863877040429354,"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."}}