{"id":"W7065665270","doi":"","title":"Education's 'Perfect Storm?' Racial Resegregation, \"High Stakes\" Testing, & School Inequities: The Case of North Carolina","year":2002,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Laser-Plasma Interactions and Diagnostics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Luck; Front (military); FREAK; League; Albatross; Storm; Gunpowder; Flemish","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":[0.003449395,0.0002888432,0.000320433,0.001032126,0.05301771,0.007609217,0.002385702,0.006220222,0.01255384],"category_scores_gemma":[0.006464766,0.0002970757,0.0004507208,0.001475053,0.01692653,0.004678568,0.01013974,0.01045609,0.0004649972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.023543,"about_ca_system_score_gemma":0.04445126,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6447142,"about_ca_topic_score_gemma":0.8425076,"domain_scores_codex":[0.9939476,0.001299686,0.00005625446,0.0003337568,0.0005829982,0.003779673],"domain_scores_gemma":[0.9940188,0.001301707,0.0002829687,0.0001512417,0.000615145,0.003630221],"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":[0.00003585576,0.0002340523,0.02039825,0.00007034264,0.00001903185,0.005834834,0.217254,0.0003876932,0.0002104706,0.4159643,0.2973171,0.04227402],"study_design_scores_gemma":[0.00003586646,0.00005586307,0.02542049,0.0006706631,0.00003435295,0.0009771324,0.4930285,0.0005856773,0.0002249247,0.04138846,0.4374759,0.0001022245],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2286447,0.002890039,0.000613283,0.5091141,0.0007395817,0.00005938595,0.00009537353,0.00004014389,0.2578034],"genre_scores_gemma":[0.8762711,0.001193338,0.0002380042,0.07528188,0.000244262,0.00009320484,0.00003450717,0.00004515296,0.0465986],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6447142,"threshold_uncertainty_score":0.7147563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02503203812288787,"score_gpt":0.2414962626927776,"score_spread":0.2164642245698898,"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."}}