{"id":"W2118924728","doi":"10.14507/epaa.v12n56.2004","title":"Making research matter more","year":2004,"lang":"en","type":"article","venue":"Education Policy Analysis Archives","topic":"Educational Assessment and Improvement","field":"Decision Sciences","cited_by":167,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Politics; Value (mathematics); Educational research; Sociology; Element (criminal law); Psychology; Pedagogy; Mathematics education; Political science; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001525471,0.0001257254,0.0002241318,0.00397773,0.0004373769,0.0004854876,0.0008253636,0.000029906,0.001632453],"category_scores_gemma":[0.0009971955,0.00009755907,0.0002562804,0.005403489,0.0002329409,0.0003423165,0.0001600116,0.0001986716,0.001257658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00013947,"about_ca_system_score_gemma":0.001676525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006479518,"about_ca_topic_score_gemma":0.0001000472,"domain_scores_codex":[0.9967204,0.0003052578,0.0005719846,0.0005352335,0.001497183,0.000369963],"domain_scores_gemma":[0.9976968,0.0008726667,0.0001924515,0.0007921144,0.0002983803,0.0001476579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002471118,0.001611863,0.4376106,0.00001218555,0.0006320691,6.693452e-7,0.03103132,0.003244887,0.001858737,0.4064234,0.04888357,0.06866597],"study_design_scores_gemma":[0.0000725633,0.00001591818,0.6043305,0.0000100079,0.00004654279,8.769354e-7,0.007434803,0.00009158769,0.0002238969,0.3630957,0.02457117,0.0001063948],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6173674,0.0001526901,0.007390509,0.2308278,0.0003454097,0.000289448,0.00001509446,0.00002860088,0.143583],"genre_scores_gemma":[0.9672304,0.00001044217,0.005138713,0.00301981,0.0007443626,0.00008043399,0.00003466352,0.000009233914,0.02373198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3498629,"threshold_uncertainty_score":0.99952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3053672443206844,"score_gpt":0.6016219892569954,"score_spread":0.296254744936311,"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."}}