{"id":"W3125265655","doi":"10.1506/2ukm-aw62-bna6-0ap6","title":"Evidence of Choice Avoidance in Capital‐Investment Judgements*","year":2005,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Affect (linguistics); Control (management); Investment (military); Capital investment; Investment decisions; Decision process; Capital (architecture); Psychology; Function (biology); Decision-making; Cognition; Capital budgeting; Process (computing); Decision fatigue; Actuarial science; Business; Social psychology; Economics; Business decision mapping; Marketing; Microeconomics; Decision analysis; Finance; R-CAST; Behavioral economics; Management science; Political science; Management; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005996372,0.0003810726,0.0003956766,0.00110902,0.0006758648,0.00225898,0.0004566455,0.0009387803,0.003480999],"category_scores_gemma":[0.08303277,0.0004290624,0.0003962477,0.0004476936,0.0019753,0.001001343,0.001845154,0.001584277,0.0002864797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004398249,"about_ca_system_score_gemma":0.0002431357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000929943,"about_ca_topic_score_gemma":0.0009251636,"domain_scores_codex":[0.9934716,0.003028901,0.0005020629,0.0005098435,0.002214701,0.0002730019],"domain_scores_gemma":[0.8569651,0.09638622,0.02977573,0.008596735,0.005380298,0.002896003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004658152,0.001555099,0.8628997,0.0006613233,0.0007484371,0.0005279019,0.04109241,0.001533098,0.02429405,0.004546949,0.001240466,0.05624235],"study_design_scores_gemma":[0.0001081559,0.0007621057,0.9796488,0.0001072405,0.0001089118,0.0005119924,0.00632623,0.002235251,0.002590303,0.005405152,0.002086065,0.0001098097],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961826,0.00006674467,0.0003343001,0.00008100033,0.000008458276,0.000008009211,0.00001766299,0.000005714822,0.003295377],"genre_scores_gemma":[0.9994411,0.00003268755,0.0002094332,0.00005076158,0.000007456877,0.00001078526,0.00002587574,0.000003292958,0.0002184698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005996372,"threshold_uncertainty_score":0.03171223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4343637681212236,"score_gpt":0.5058215024596886,"score_spread":0.07145773433846497,"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."}}