{"id":"W1680095346","doi":"","title":"Building the Foundation for Data-Based Decision Making: Creating Consensus on Language and Concepts.","year":2009,"lang":"en","type":"article","venue":"International electronic journal for leadership in learning","topic":"Educational Assessment and Improvement","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Foundation (evidence); Sociology; Management science; Engineering ethics; Psychology; Computer science; Mathematics education; Political science; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.006621647,0.0001292416,0.0001512699,0.0003024763,0.0004542282,0.0006076182,0.0007595599,0.0000485105,0.00005785163],"category_scores_gemma":[0.009998416,0.00009049564,0.00007530123,0.0001824717,0.00005166589,0.0002942211,0.00003125521,0.0005529673,0.000004059543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003490589,"about_ca_system_score_gemma":0.0003404108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004595988,"about_ca_topic_score_gemma":0.00002952948,"domain_scores_codex":[0.9976764,0.0001504697,0.0005658856,0.0003618235,0.0008164083,0.0004290002],"domain_scores_gemma":[0.9907927,0.008228869,0.0004529903,0.0001817045,0.0003040188,0.00003973811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009463464,0.0001336331,0.004881128,0.000007483252,0.00006021373,0.000002335617,0.001883042,0.02021136,0.00233441,0.1466481,0.001603842,0.8212881],"study_design_scores_gemma":[0.004188691,0.001904168,0.00965794,0.0005407527,0.0000409167,0.00008176348,0.03219442,0.5654747,0.0006495479,0.3210547,0.06378705,0.0004253461],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5454496,0.0006240792,0.3827467,0.06826158,0.001280286,0.0008083603,0.00001051746,0.00002955634,0.0007893494],"genre_scores_gemma":[0.9876894,0.000006994184,0.009805392,0.00144762,0.0004324449,0.00001718666,0.00002559128,0.0000108576,0.0005645641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8208628,"threshold_uncertainty_score":0.9983408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2638223722809482,"score_gpt":0.5122909529298345,"score_spread":0.2484685806488863,"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."}}