{"id":"W30958861","doi":"10.1371/journal.pone.0214988","title":"Monitoring Educational Progress Over Time: Goals and Opportunities","year":2007,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Education Systems and Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Computer science; Business; Data science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.01424161,0.0006462208,0.0006164737,0.002788229,0.00104101,0.003499871,0.001027681,0.00138866,0.001610802],"category_scores_gemma":[0.03050339,0.0003232534,0.0004251767,0.00206022,0.0005721642,0.004470264,0.002669238,0.001029104,0.0005267873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001469599,"about_ca_system_score_gemma":0.004185327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006276466,"about_ca_topic_score_gemma":0.009492063,"domain_scores_codex":[0.995544,0.002254456,0.0003675899,0.0003333368,0.001030639,0.0004700506],"domain_scores_gemma":[0.9776965,0.008831815,0.003149706,0.000989348,0.00550183,0.003830792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005750658,0.0008415807,0.4343803,0.0005119385,0.0000947838,0.00009228656,0.003246039,0.002713052,0.0005518937,0.009674511,0.009496957,0.5378215],"study_design_scores_gemma":[0.0001623119,0.003106671,0.7980514,0.002860441,0.0003904399,0.0007149309,0.01817689,0.03800334,0.007742608,0.07722607,0.05324264,0.0003223146],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7453684,0.01436538,0.07244973,0.04739164,0.0005667824,0.0007859473,0.00297196,0.00119795,0.1149023],"genre_scores_gemma":[0.963214,0.002493039,0.03044733,0.0004415442,0.0001022732,0.0003938703,0.000543378,0.00004128595,0.002323223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01424161,"threshold_uncertainty_score":0.07531774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1758508606068522,"score_gpt":0.3857027967069191,"score_spread":0.2098519361000669,"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."}}