{"id":"W7099553382","doi":"","title":"School Competition and Efficiency with Publicly Funded Catholic Schools.” NBER Working Paper 14176","year":2008,"lang":"en","type":"article","venue":"","topic":"Logic, Reasoning, and Knowledge","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Competition (biology); Incentive; Test (biology); Quality (philosophy); School choice; Face (sociological concept)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002521413,0.0002045818,0.000202086,0.0001389926,0.0004685569,0.0003849206,0.0005110674,0.00007953964,0.0001410213],"category_scores_gemma":[0.00006975278,0.0001443096,0.00004317371,0.0006335335,0.0001222897,0.0009645561,0.0002280465,0.00025351,0.0002522978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005396712,"about_ca_system_score_gemma":0.0001305522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001558786,"about_ca_topic_score_gemma":0.0002272758,"domain_scores_codex":[0.9984204,0.00006863292,0.0001936277,0.0005634287,0.0003151818,0.000438745],"domain_scores_gemma":[0.9989395,0.00006422144,0.00007521982,0.0005102344,0.0001340821,0.0002767363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00003447798,0.0005634319,0.34728,0.00004253418,0.00006400249,0.0002055353,0.004374966,0.00006902049,0.001185346,0.6185819,0.004067313,0.02353148],"study_design_scores_gemma":[0.006724715,0.001165733,0.8360763,0.0003473181,0.0000543956,0.003333911,0.0006219408,0.02369133,0.00192522,0.006267624,0.1170512,0.00274042],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5739969,0.000689954,0.190181,0.001327115,0.0002806035,0.0003450951,5.070795e-7,0.000687381,0.2324914],"genre_scores_gemma":[0.9821013,0.00006449804,0.01442342,0.0007486473,0.0001226635,0.00001936356,0.000002093672,0.00001190584,0.002506079],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6123142,"threshold_uncertainty_score":0.5884776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01890903215009821,"score_gpt":0.2077492853108273,"score_spread":0.1888402531607291,"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."}}