{"id":"W2035232611","doi":"10.1002/rev3.3001","title":"To know is not enough: research knowledge and its use","year":2013,"lang":"en","type":"article","venue":"Review of Education","topic":"Educational Assessment and Improvement","field":"Decision Sciences","cited_by":277,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Conceptualization; Knowledge production; Process (computing); Knowledge creation; Knowledge management; Production (economics); Educational research; Sociology; Epistemology; Computer science; Business; Social science; Marketing; Artificial intelligence; Economics; Downstream (manufacturing)","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002917854,0.00007705008,0.0001966856,0.0002486614,0.0000878364,0.0001507354,0.0003272761,0.00002520447,0.002271074],"category_scores_gemma":[0.00456896,0.00005519326,0.00004303653,0.0009393134,0.00002678121,0.0006063787,0.0001134292,0.00008001518,0.002389525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006292846,"about_ca_system_score_gemma":0.0006381522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007621568,"about_ca_topic_score_gemma":0.000004751767,"domain_scores_codex":[0.9980144,0.0002356017,0.0005098255,0.0003040914,0.00078073,0.0001553406],"domain_scores_gemma":[0.995548,0.001024305,0.0001378816,0.000399242,0.002736798,0.000153795],"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":[9.151362e-7,0.0002231008,0.001457396,0.0004416947,0.000003406668,5.468551e-9,0.0005958749,2.238254e-8,0.001472527,0.00710258,0.706139,0.2825635],"study_design_scores_gemma":[0.0000329396,0.00007419522,0.06269713,0.001640814,0.000006463368,5.665348e-7,0.0004134134,0.00001430451,0.001490306,0.00213327,0.9314201,0.00007648697],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7452517,0.1251534,0.00002018266,0.1138907,0.001152046,0.00264831,0.00001106328,0.000009830916,0.01186269],"genre_scores_gemma":[0.8784981,0.05324532,0.002460333,0.00631635,0.0003830941,0.0006036961,0.00001502,0.00001393305,0.05846412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.282487,"threshold_uncertainty_score":0.998641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3999012410373326,"score_gpt":0.5852096756919933,"score_spread":0.1853084346546607,"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."}}