{"id":"W2068558342","doi":"10.1126/science.333.6047.1221","title":"Response—Education Research: Set a High Bar","year":2011,"lang":"en","type":"article","venue":"Science","topic":"Innovative Teaching Methods","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Attrition; Attendance; Context (archaeology); Test (biology); Mathematics education; Set (abstract data type); Class (philosophy); Psychology; Confounding; Computer science; Mathematics; Statistics; Medicine; Political science; History","routes":{"ca_aff":true,"ca_fund":false,"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":["metaresearch","sts"],"consensus_categories":["metaresearch","sts"],"category_scores_codex":[0.0557599,0.00005177567,0.0000615516,0.0004207251,0.001987844,0.0001060221,0.0009909575,0.00004283887,0.0004923023],"category_scores_gemma":[0.01318084,0.00004812748,0.00001429026,0.003294157,0.003729353,0.0005748568,0.0001262481,0.0002625928,0.0003010216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003442311,"about_ca_system_score_gemma":0.003773053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00392011,"about_ca_topic_score_gemma":0.0001005111,"domain_scores_codex":[0.9953419,0.002574109,0.0001188717,0.0003217441,0.001114297,0.0005290997],"domain_scores_gemma":[0.9983449,0.0004073126,0.00004701697,0.0003198557,0.0007460606,0.0001348628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00006387696,0.00006764216,0.00336295,0.000001761442,0.000001081733,0.000001803519,0.1539118,1.129682e-7,0.02682832,0.7952912,0.002411894,0.01805746],"study_design_scores_gemma":[0.0001257617,0.0001921758,0.4093951,0.00004309875,0.000002435204,0.000002364305,0.05241567,0.00001014941,0.02951275,0.2553501,0.25266,0.0002904123],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8174241,0.00001381622,0.000558177,0.001853556,0.0007943862,0.0001597987,0.000001178896,0.00006696351,0.1791281],"genre_scores_gemma":[0.9510893,0.000002535322,0.04335529,0.0002500429,0.0001005736,0.00001582282,2.268379e-7,0.000004579549,0.005181669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5399411,"threshold_uncertainty_score":0.9993114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4867204443562617,"score_gpt":0.5683714515027349,"score_spread":0.08165100714647328,"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."}}