{"id":"W4398356516","doi":"10.7910/dvn/ngsu6v","title":"Replication Data for: Improving Schooling through Effective Governance? The United States, Canada, South Korea, and Singapore in the Struggle for PISA Scores","year":2022,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Global Educational Reforms and Inequalities","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Replication (statistics); Corporate governance; Political science; Public administration; Economic growth; Geography; Mathematics education; Psychology; Medicine; Economics; Management","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.002295778,0.000191296,0.0002034943,0.00003579633,0.001338796,0.0002817475,0.001651601,0.00008487586,0.0008462027],"category_scores_gemma":[0.005059985,0.0001245732,0.00003532017,0.0002851198,0.0002027881,0.0005341304,0.0004214949,0.0003134654,0.000006993685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005812593,"about_ca_system_score_gemma":0.001794448,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9496739,"about_ca_topic_score_gemma":0.8536257,"domain_scores_codex":[0.9979726,0.0002301689,0.0002975713,0.000563584,0.0005715124,0.0003645669],"domain_scores_gemma":[0.9965726,0.001145935,0.0004128465,0.001683102,0.0001348515,0.00005072276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004681965,0.00001899376,0.00003113684,0.00009751642,0.00002648098,8.954185e-7,0.002915192,0.00003501315,1.549091e-7,0.003654406,0.9926476,0.0005257283],"study_design_scores_gemma":[0.0002389129,0.00003473215,0.0002349856,0.00003727565,0.00007379036,0.000001087913,0.04056175,0.000185957,4.803904e-7,0.0009779177,0.9574898,0.0001632304],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001005088,0.00003926684,0.00004582276,0.0003958039,0.0004109545,0.001757905,0.9962882,0.00000910011,0.00004788467],"genre_scores_gemma":[0.000913579,0.0003494195,0.0001468682,0.001427411,0.0003068073,0.0004815206,0.9962788,0.00001235716,0.0000832072],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09604826,"threshold_uncertainty_score":0.9999613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04042624341010684,"score_gpt":0.3182772405886481,"score_spread":0.2778509971785412,"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."}}