{"id":"W2147935498","doi":"10.1002/rev3.3007","title":"Context and Implications Document for: 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":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Context (archaeology); Need to know; Data science; Computer science; Knowledge management; History; Archaeology","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":[],"consensus_categories":[],"category_scores_codex":[0.002345318,0.0000851911,0.000208038,0.0001975869,0.0001485595,0.000190179,0.000232292,0.00002592591,0.0004007957],"category_scores_gemma":[0.002873884,0.00006369462,0.00004042083,0.0004944016,0.0000378003,0.0005545306,0.0001004689,0.00005497936,0.0002040203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007010792,"about_ca_system_score_gemma":0.0004560091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000706508,"about_ca_topic_score_gemma":0.00001421777,"domain_scores_codex":[0.9984399,0.0001402804,0.0005311236,0.0003432129,0.0003904744,0.0001550191],"domain_scores_gemma":[0.9953659,0.001594252,0.0001594517,0.000372734,0.002344941,0.0001626989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001722888,0.0001535343,0.001340531,0.0004732206,0.000006343729,1.11082e-9,0.000728327,1.48016e-8,0.001248075,0.04541351,0.4573012,0.4933335],"study_design_scores_gemma":[0.00007738855,0.0001144552,0.06222207,0.0009641016,0.00001351524,7.992674e-7,0.0007492459,0.000009481771,0.0008328818,0.01010878,0.9248223,0.00008498933],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5292211,0.1809714,0.000185502,0.2789232,0.0006619573,0.00726973,0.00005702757,0.00001148455,0.002698549],"genre_scores_gemma":[0.9310986,0.04569037,0.002823298,0.004657852,0.0001671192,0.002130917,0.00002442513,0.00001099394,0.01339641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4932485,"threshold_uncertainty_score":0.4388432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.332775552317486,"score_gpt":0.5760869777365389,"score_spread":0.243311425419053,"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."}}