{"id":"W361539718","doi":"","title":"Saving America's school infrastructure","year":2003,"lang":"en","type":"article","venue":"Medical Entomology and Zoology","topic":"School Choice and Performance","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"State (computer science); Investment (military); Public administration; Political science; Critical infrastructure; Sociology; Law; Politics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006378827,0.00008597215,0.0001781187,0.00006453077,0.0003372104,0.00001359418,0.0001763078,0.0004043704,0.0124791],"category_scores_gemma":[0.002735273,0.00007402888,0.00002695178,0.0001824355,0.001026101,0.00008887692,0.00003493287,0.0004398225,0.000172274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002568786,"about_ca_system_score_gemma":0.0003230748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008876456,"about_ca_topic_score_gemma":0.001415441,"domain_scores_codex":[0.9985706,0.0004351315,0.0001530809,0.0002086497,0.0002304132,0.0004021645],"domain_scores_gemma":[0.9991522,0.0002654067,0.00004502791,0.0001045259,0.00003189426,0.0004009011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000255149,0.00003719811,0.8409328,0.0000107331,0.0000324367,0.0001131304,0.002868432,0.000001834462,0.00003410127,0.1032241,0.007043476,0.04567626],"study_design_scores_gemma":[0.0009664046,0.0001766429,0.2544476,0.00001834651,0.00002815099,0.0002530243,0.00232676,0.00003455366,0.00003229154,0.0578435,0.6835813,0.0002914355],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8922467,0.001016624,0.000569199,0.006816975,0.001155399,0.00008240121,7.29344e-7,0.00006863502,0.09804338],"genre_scores_gemma":[0.989355,0.001108605,0.0003959017,0.006504462,0.0003380328,0.00001120471,0.000002595918,0.000005304716,0.002278852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6765378,"threshold_uncertainty_score":0.9884236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00947119035429486,"score_gpt":0.3021355040509178,"score_spread":0.2926643136966229,"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."}}