{"id":"W2013140873","doi":"10.1038/491176a","title":"Education: Africa’s counting house","year":2012,"lang":"en","type":"article","venue":"Nature","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"International Development Research Centre","funders":"","keywords":"Breed; Set (abstract data type); Mathematics education; Geography; Mathematics; Computer science; Biology; Ecology","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":[0.0002740952,0.00009220817,0.00006971692,0.00003776288,0.00006737712,0.00002700889,0.0001990057,0.0008327358,0.00004737473],"category_scores_gemma":[0.0003065506,0.00007540622,0.00005038524,0.00009006816,0.00006587632,0.00000523198,0.0001026566,0.0005611851,0.0001120184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001310729,"about_ca_system_score_gemma":0.0001628208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000276876,"about_ca_topic_score_gemma":0.000003132723,"domain_scores_codex":[0.9991352,0.00001921304,0.0001243253,0.0001159787,0.0002619212,0.0003433749],"domain_scores_gemma":[0.9993957,0.000009190775,0.00003941586,0.0002419153,0.0001295805,0.0001842076],"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":[0.00004436965,0.00045213,0.0167929,0.0001450847,0.0000722948,7.830532e-7,0.0006037888,0.000001103898,0.1143165,0.000868166,0.7916117,0.07509122],"study_design_scores_gemma":[0.000132591,0.00005285902,0.005132364,0.000008706192,0.000006601788,0.000009011565,0.0002262908,0.000009254765,0.026941,0.00005006836,0.9673193,0.0001120188],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8347816,0.0355922,0.0006415707,0.003339453,0.003901184,0.0005291905,0.00003912808,0.0001003991,0.1210753],"genre_scores_gemma":[0.9909251,0.0002942102,0.001836932,0.001339394,0.001561486,0.000009221861,0.00005980229,0.00001670872,0.003957106],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1757075,"threshold_uncertainty_score":0.6422821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01197374068836562,"score_gpt":0.2947185201697872,"score_spread":0.2827447794814216,"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."}}