{"id":"W2199792002","doi":"10.22230/ijepl.2015v10n7a634","title":"What Makes Them the Best? An Analysis of the Relationship between State Education Quality and Principal Preparation Practices","year":2015,"lang":"en","type":"article","venue":"International Journal of Education Policy and Leadership","topic":"Teacher Education and Leadership Studies","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Southern Regional Education Board","keywords":"Internship; Principal (computer security); Curriculum; Quality (philosophy); Medical education; Psychology; Training (meteorology); Perception; Political science; Pedagogy; Medicine; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.00452967,0.00007808027,0.0001875485,0.0009933733,0.001173723,0.001822013,0.0003626153,0.0003067963,0.001709891],"category_scores_gemma":[0.01871125,0.0002151487,0.0002743189,0.001314876,0.001276756,0.001069596,0.00138494,0.0008405524,0.0001051739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009905343,"about_ca_system_score_gemma":0.001343933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01271489,"about_ca_topic_score_gemma":0.02129276,"domain_scores_codex":[0.9970365,0.001533758,0.0001925657,0.0002318329,0.0004946108,0.0005108064],"domain_scores_gemma":[0.9762441,0.008722981,0.009217285,0.0009184314,0.002408677,0.002488457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005272244,0.00009486004,0.9843494,0.00002624935,0.00004063823,0.00004305162,0.006170343,0.00009597457,0.0001259259,0.0002659581,0.0002615276,0.00847324],"study_design_scores_gemma":[0.000002957574,0.00008920898,0.9804104,0.00002944405,0.00001512662,0.00004187753,0.01821554,0.0001677133,0.00007695511,0.00008370473,0.0008612385,0.000005905467],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984591,0.00008160126,0.0001109255,0.0003081156,0.000003347046,0.000005614502,0.00002605279,0.000003042119,0.001002198],"genre_scores_gemma":[0.9997517,0.00004919009,0.00005776822,0.00002107641,0.000002452754,0.00000305445,0.00002242293,0.000001216698,0.00009099664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01271489,"threshold_uncertainty_score":0.02528179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6816480483574939,"score_gpt":0.5706117816581905,"score_spread":0.1110362666993034,"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."}}