{"id":"W7100325569","doi":"","title":"Evaluating Search and Matching Models Using Experimental Data.” Unpublished manuscript","year":2005,"lang":"en","type":"article","venue":"","topic":"Game Theory and Voting Systems","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Earnings; Randomized experiment; Test (biology); Measure (data warehouse); Corporation; Control (management); Constant (computer programming)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0396124,0.0008533851,0.00124146,0.002012908,0.0008356036,0.002071199,0.00253891,0.002170706,0.03899625],"category_scores_gemma":[0.09792397,0.000649307,0.001371707,0.004006471,0.001540813,0.003319622,0.001054636,0.001496153,0.004140194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004438257,"about_ca_system_score_gemma":0.002145259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01331454,"about_ca_topic_score_gemma":0.01000635,"domain_scores_codex":[0.9897376,0.007447334,0.0005082008,0.0006351053,0.001320969,0.00035089],"domain_scores_gemma":[0.9041042,0.07114223,0.006155883,0.009148338,0.008838178,0.0006111226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002769072,0.002209887,0.02202685,0.002822215,0.00240941,0.0003090679,0.0004950824,0.1442981,0.0009120231,0.2690111,0.313643,0.2390943],"study_design_scores_gemma":[0.004808311,0.002442805,0.04566967,0.0011029,0.001778536,0.0002798343,0.00126887,0.4631907,0.00538449,0.2841768,0.1895952,0.0003018994],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3004685,0.04719647,0.3469088,0.04581651,0.005773495,0.006015901,0.02998332,0.001676337,0.2161607],"genre_scores_gemma":[0.8335882,0.01597846,0.09859499,0.002671884,0.0006921878,0.003950434,0.01579639,0.000339773,0.02838767],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0396124,"threshold_uncertainty_score":0.2094929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4145539762019931,"score_gpt":0.3753359110431829,"score_spread":0.03921806515881027,"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."}}