{"id":"W2897456517","doi":"10.1016/j.iref.2018.10.001","title":"Portfolio rebalancing behavior with operating losses and investment regulation","year":2018,"lang":"en","type":"article","venue":"International Review of Economics & Finance","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"HEC Montréal; Center for Interuniversity Research and Analysis on Organizations; Université de Montréal","funders":"Social Sciences and Humanities Research Council of Canada; HEC Montréal","keywords":"Taxable income; Portfolio; Yield (engineering); Investment (military); Monetary economics; Business; Economics; Finance; Microeconomics; Accounting","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004386351,0.000140255,0.0003770011,0.0001094469,0.00007202363,0.00003869856,0.0002040648,0.00003811586,0.0001626135],"category_scores_gemma":[0.00007334682,0.0001494046,0.00005677613,0.0001013733,0.0001188411,0.0003655626,0.00007164448,0.0000645683,0.00007362513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001026004,"about_ca_system_score_gemma":0.00002927471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001065562,"about_ca_topic_score_gemma":0.00004000591,"domain_scores_codex":[0.9986985,0.000005866251,0.0007548857,0.000355843,0.00003161299,0.0001532516],"domain_scores_gemma":[0.9988796,0.00001751593,0.0007048389,0.0002500384,0.0001209904,0.00002703849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001644276,0.00006307971,0.06588323,0.0003349806,0.00004546219,0.000003035796,0.00008499253,0.00004333085,0.00001308233,0.9199286,0.0009061077,0.01267772],"study_design_scores_gemma":[0.001085963,0.0004392933,0.4544492,0.004639487,0.00004324743,0.00003744097,0.00003183491,0.002975611,0.0008169825,0.03167778,0.5030754,0.0007277786],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8990056,0.01785064,0.001183792,0.0007536232,0.000571708,0.0005346655,0.0001043518,0.00001563826,0.07997996],"genre_scores_gemma":[0.9433579,0.04947476,0.004576607,0.001620118,0.0001949514,0.00007699573,0.0000280268,0.0000190987,0.0006515457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8882508,"threshold_uncertainty_score":0.6092541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02080175098926693,"score_gpt":0.2433433376542621,"score_spread":0.2225415866649951,"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."}}