{"id":"W7027744507","doi":"","title":"Data Use in Ontario School Board Improvement Plans","year":2018,"lang":"en","type":"dissertation","venue":"QSpace (Queen's University Library)","topic":"Educational Assessment and Improvement","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Work (physics); Data collection; Government (linguistics); Process (computing); Filter (signal processing); Christian ministry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000366435,0.0004472778,0.0005230453,0.001101425,0.0002429133,0.0008408491,0.003442723,0.0003404223,0.008406974],"category_scores_gemma":[0.0002665127,0.0004351549,0.0001480552,0.0008592856,0.00007231751,0.006690744,0.000943021,0.0007405206,0.0007248668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006361366,"about_ca_system_score_gemma":0.003508626,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2632019,"about_ca_topic_score_gemma":0.5595628,"domain_scores_codex":[0.9956596,0.0001598811,0.0005825286,0.001497938,0.001604192,0.0004958819],"domain_scores_gemma":[0.9963527,0.0004032455,0.0006094227,0.00207006,0.0002109211,0.0003536442],"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":[0.0002431199,0.0002217414,0.1902732,0.00001475292,0.00006358873,0.0000350577,0.0006361038,0.000002971183,0.000009780126,0.0006226297,0.8072321,0.00064492],"study_design_scores_gemma":[0.0004477536,0.0001640844,0.3410045,0.00008680946,0.00004243224,4.200081e-8,0.007418635,0.000008285804,0.0001871205,0.0009594837,0.649272,0.0004088763],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9387377,0.000008350125,0.0000673569,0.01953442,0.002520172,0.001065612,0.0009088072,0.0001218769,0.03703569],"genre_scores_gemma":[0.03465947,0.00005717689,0.003617577,0.0004409807,0.0001927379,0.0000035535,0.007732775,0.00004289655,0.9532529],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9162171,"threshold_uncertainty_score":0.99981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05850507188363901,"score_gpt":0.2995458167278413,"score_spread":0.2410407448442023,"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."}}