{"id":"W2024108526","doi":"10.12968/sece.2015.3.13","title":"Making an impact…","year":2015,"lang":"en","type":"article","venue":"SecEd","topic":"Education Systems and Policy","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Computer science","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":[0.000422985,0.00002449028,0.00003803158,0.00002192845,0.00009374675,0.00005097846,0.00007627442,0.00002810784,0.0002057215],"category_scores_gemma":[0.00008816965,0.00002090126,0.00001535946,0.0001064922,0.00002343217,0.0001240301,0.000004867902,0.00002366476,0.0001720216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006395093,"about_ca_system_score_gemma":0.0002993298,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007008356,"about_ca_topic_score_gemma":0.001600826,"domain_scores_codex":[0.9995812,0.0000938564,0.00004926785,0.00004964809,0.000110466,0.0001155336],"domain_scores_gemma":[0.9996966,0.00001217723,0.00002504407,0.00007843784,0.00005459187,0.0001332087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006769955,0.00004264126,0.05720456,0.000003033318,0.000009551264,0.000001010145,0.7290778,0.00001008485,0.0002367701,0.1616934,0.04443939,0.007274994],"study_design_scores_gemma":[0.0001815239,0.00003982289,0.02047355,0.000009647629,0.000002941381,0.000001270943,0.1326405,0.00001311148,0.0000240711,0.003786684,0.8426974,0.0001295071],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7897034,0.00002560572,0.00001198779,0.0006442667,0.0003661672,0.00004437858,0.000001131275,0.00003744694,0.2091656],"genre_scores_gemma":[0.9966744,8.077581e-7,0.00007002183,0.000195493,0.0008971763,0.000002361008,0.000001254911,0.000003007597,0.002155436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.798258,"threshold_uncertainty_score":0.999604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3238138847860855,"score_gpt":0.539900690540724,"score_spread":0.2160868057546385,"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."}}