{"id":"W2950124282","doi":"10.1108/mf-02-2019-0081","title":"Share classes, families and asset purchases: Canadian evidence","year":2019,"lang":"en","type":"article","venue":"Managerial Finance","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; Treasury Board of Canada Secretariat","funders":"","keywords":"Shareholder; Proxy (statistics); Asset (computer security); Leverage (statistics); Business; Actuarial science; Economics; Agency cost; Econometrics; Microeconomics; Financial economics; Finance; Corporate governance; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001989328,0.00022818,0.0002633244,0.0001718475,0.000172141,0.0003742426,0.000353639,0.00008618009,0.0002999959],"category_scores_gemma":[0.0001310813,0.0002346131,0.00004990755,0.0005400615,0.00005856977,0.001982966,0.0001544393,0.0001356183,0.001466368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000582162,"about_ca_system_score_gemma":0.00008391635,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09322249,"about_ca_topic_score_gemma":0.08254544,"domain_scores_codex":[0.998619,0.000006649878,0.0002187337,0.0005043923,0.0002032022,0.0004480506],"domain_scores_gemma":[0.9992415,0.00003814713,0.0002016747,0.0004122577,0.0000864915,0.00001990771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002652266,0.00005949223,0.6415412,0.001244615,0.00003890166,0.000361171,0.0001028975,0.0004391024,0.0007751428,0.1414088,0.1644834,0.04928005],"study_design_scores_gemma":[0.0003049531,0.00001414307,0.3411699,0.0002596937,0.00001255945,0.000001778042,0.00004277523,0.0006202423,0.00001105852,0.0007732541,0.6565005,0.0002890973],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9786537,0.000768857,0.00005103917,0.002128335,0.001170838,0.0004593558,0.0000530572,0.00008411461,0.01663067],"genre_scores_gemma":[0.9923761,0.0004874321,0.00007687948,0.002635805,0.0007593989,0.00003029794,0.00002894828,0.00002834084,0.003576764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4920171,"threshold_uncertainty_score":0.9993111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01804534976422181,"score_gpt":0.2060984051222766,"score_spread":0.1880530553580548,"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."}}