{"id":"W3115064918","doi":"10.3386/w28267","title":"Information, Preferences, and Household Demand for School Value Added","year":2020,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"York University","keywords":"Value (mathematics); Business; Microeconomics; Economics; Computer science; Machine learning","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003509167,0.0002466893,0.0007278524,0.0008225386,0.0001700039,0.0003614672,0.0006072373,0.0004463916,0.0002276186],"category_scores_gemma":[0.001498549,0.0003170779,0.000176076,0.000103201,0.0001997298,0.0005690077,0.0005891573,0.0006669161,0.0002532478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006054646,"about_ca_system_score_gemma":0.0007174644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005097733,"about_ca_topic_score_gemma":0.00003984878,"domain_scores_codex":[0.9975665,0.00004744149,0.001339055,0.0005384294,0.0001122807,0.0003963325],"domain_scores_gemma":[0.9978685,0.0005787596,0.0007062559,0.0003425365,0.0002745726,0.0002293617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001328324,0.00003311125,0.005058887,0.0004936355,0.0001785443,1.355509e-7,0.0002690606,0.004440815,0.000003063281,0.9616519,0.02678912,0.0009489232],"study_design_scores_gemma":[0.000798456,0.00007835885,0.002370192,0.00004922845,0.000006914569,0.000001261801,0.00005920684,0.02055236,0.00003326574,0.9581049,0.01764874,0.0002970864],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.132185,0.001813324,0.002467351,0.006836256,0.001654509,0.003746171,0.004961505,0.0001146956,0.8462212],"genre_scores_gemma":[0.9940661,0.00152032,0.00245203,0.0001637537,0.0005241248,0.0002783844,0.0007511036,0.00004059,0.0002036141],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8618811,"threshold_uncertainty_score":0.9999281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3368703914346666,"score_gpt":0.4044642030501485,"score_spread":0.06759381161548195,"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."}}