{"id":"W4386774928","doi":"10.1287/mnsc.2023.4907","title":"Whether to Apply","year":2023,"lang":"en","type":"article","venue":"Management Science","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Ambiguity; Behavioral economics; Foundation (evidence); Work (physics); Chen; Point (geometry); Field (mathematics); Prospect theory; Psychology; Actuarial science; Economics; Marketing; Computer science; Political science; Finance; Business; Law; Engineering","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":[0.003004836,0.0001754643,0.0003679908,0.0007962813,0.00146432,0.001379983,0.0007180999,0.001447303,0.08202665],"category_scores_gemma":[0.01719479,0.0001573197,0.0004626556,0.0003799501,0.0005538373,0.001211815,0.001012284,0.001358021,0.02390814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003441123,"about_ca_system_score_gemma":0.002054417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001508944,"about_ca_topic_score_gemma":0.004122071,"domain_scores_codex":[0.9975944,0.0005126678,0.0001594022,0.0002211846,0.0005687176,0.0009436286],"domain_scores_gemma":[0.9931893,0.001075696,0.0008551552,0.0007056827,0.0007591906,0.003414927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001570823,0.002143115,0.3602089,0.0003565222,0.0001602336,0.001587359,0.003067079,0.0005834477,0.003346239,0.0124176,0.1775188,0.43704],"study_design_scores_gemma":[0.000452639,0.003503104,0.6615512,0.0007745944,0.0001520782,0.005691979,0.0138833,0.00234293,0.002859858,0.02940823,0.2791858,0.000194295],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7459575,0.002852679,0.00340012,0.04365652,0.003540573,0.0008389808,0.004539523,0.0002019778,0.1950121],"genre_scores_gemma":[0.9220992,0.0008784138,0.001028865,0.009523709,0.0007062195,0.0002103179,0.0009518947,0.00004765578,0.06455362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08202665,"threshold_uncertainty_score":0.2744065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04973936956672687,"score_gpt":0.3750585124842493,"score_spread":0.3253191429175225,"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."}}