{"id":"W3121785314","doi":"10.1257/mic.20150147","title":"Two-Sided Investment and Matching with Multidimensional Cost Types and Attributes","year":2018,"lang":"en","type":"article","venue":"American Economic Journal Microeconomics","topic":"Game Theory and Voting Systems","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Multiplicity (mathematics); Microeconomics; Matching (statistics); Investment (military); Ex-ante; Simple (philosophy); Industrial organization; Investment decisions; Economics; Computer science; Econometrics; Mathematical optimization; Mathematical economics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009412205,0.00027822,0.0006783205,0.0002280592,0.0003710708,0.0002373911,0.0001692461,0.00004807005,0.0001546327],"category_scores_gemma":[0.00003263999,0.0002869696,0.00006323525,0.00005091391,0.000816383,0.0003756735,0.0001086743,0.0002539313,0.0004029896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002667475,"about_ca_system_score_gemma":0.00006361154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005490264,"about_ca_topic_score_gemma":0.0002408899,"domain_scores_codex":[0.998225,0.00004467833,0.0007810845,0.0004983288,0.00001534032,0.0004356152],"domain_scores_gemma":[0.9982688,0.0001972786,0.0009956353,0.0002361208,0.00002932398,0.0002727759],"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":[0.0005348083,0.0001252845,0.3874568,0.00004151452,0.001105093,0.00002712858,0.003780208,0.0009311883,0.001070412,0.5936543,0.001774583,0.009498683],"study_design_scores_gemma":[0.02619403,0.00685365,0.2370708,0.0009064753,0.0003644089,0.01880297,0.01789753,0.02117857,0.005820056,0.3202167,0.3363742,0.008320657],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941134,0.0008062434,0.0007395672,0.0005934139,0.0004065344,0.0002046936,0.0001039139,0.00002706909,0.003005107],"genre_scores_gemma":[0.9908819,0.0002995557,0.006720222,0.001312092,0.0004871491,0.000009100455,0.000006614534,0.00005096086,0.0002324296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3345996,"threshold_uncertainty_score":0.9999582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01675893630970254,"score_gpt":0.2279303383571578,"score_spread":0.2111714020474552,"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."}}