{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005856079,0.0003439668,0.00103615,0.001358581,0.001375858,0.002654154,0.001064241,0.001745735,0.01186096],"category_scores_gemma":[0.01707458,0.0005756126,0.001117811,0.003466112,0.00185316,0.001634112,0.001310761,0.001147001,0.0007462153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01694104,"about_ca_system_score_gemma":0.01007766,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6116092,"about_ca_topic_score_gemma":0.730774,"domain_scores_codex":[0.9966508,0.0008988155,0.0001681044,0.0005098864,0.0007411902,0.001031297],"domain_scores_gemma":[0.9795899,0.006432399,0.008762704,0.0008551531,0.002193779,0.002166085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006731678,0.0002316356,0.7132087,0.0004116321,0.001004726,0.0005511661,0.001002878,0.0331149,0.0004529592,0.08324568,0.1208101,0.04529232],"study_design_scores_gemma":[0.0007634918,0.0001551176,0.8409937,0.0003224405,0.0005308809,0.0001568344,0.001206752,0.02995163,0.0009104532,0.02647834,0.09844901,0.0000813956],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7749144,0.02138523,0.009121604,0.06700347,0.0002744017,0.0002881417,0.04222219,0.0002273767,0.08456329],"genre_scores_gemma":[0.9653957,0.002825873,0.001172631,0.0009147924,0.0001913508,0.0001052253,0.00828,0.00004357857,0.02107071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6116092,"threshold_uncertainty_score":0.7813562,"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."}}