{"id":"W2901909531","doi":"10.1111/irfi.12247","title":"Are Incentive Contract Settlements Nonevents?*","year":2018,"lang":"en","type":"article","venue":"International Review of Finance","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Volatility (finance); Incentive; Human settlement; Settlement (finance); Business; Signature (topology); Visibility; Economics; Monetary economics; Microeconomics; Finance; Geography; Mathematics","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":[0.01570821,0.0001579115,0.0007287071,0.001567199,0.001419692,0.005380399,0.00111352,0.002323472,0.006997084],"category_scores_gemma":[0.107296,0.0004117056,0.0003685773,0.002287928,0.002400883,0.005322051,0.00164679,0.003215211,0.0007128729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001334288,"about_ca_system_score_gemma":0.001698899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001537848,"about_ca_topic_score_gemma":0.001214654,"domain_scores_codex":[0.989499,0.003352413,0.001292432,0.00123629,0.003557029,0.001062872],"domain_scores_gemma":[0.8222748,0.0698955,0.08995168,0.008249688,0.006171852,0.003456498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001418017,0.0005670346,0.542082,0.0004406376,0.0002021155,0.001590519,0.004716734,0.002922333,0.002263592,0.1668957,0.01046619,0.2664351],"study_design_scores_gemma":[0.0002562443,0.0007756802,0.7028484,0.0009031198,0.0002130918,0.003454037,0.009756854,0.01971804,0.00422583,0.1763185,0.08132332,0.0002068284],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9581705,0.003344482,0.008002168,0.006306847,0.0001550203,0.00007935598,0.0008769121,0.00009060741,0.02297405],"genre_scores_gemma":[0.9976986,0.0003563198,0.0005817603,0.000166176,0.0001116728,0.00001219077,0.0001915101,0.000009654907,0.0008719958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01570821,"threshold_uncertainty_score":0.08307391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02056720977844814,"score_gpt":0.2771240813639402,"score_spread":0.2565568715854921,"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."}}