{"id":"W7036900671","doi":"","title":"Country profile: quarterly update July 2016 Botswana","year":2016,"lang":"en","type":"other","venue":"Economic Commission for Africa Knowledge Repository (Economic Commission for Africa)","topic":"Enzyme Structure and Function","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); National accounts; Data collection; Social security; Government (linguistics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006630095,0.001210241,0.0005148079,0.008539582,0.0006105108,0.00224848,0.0009565199,0.0006312907,0.0969592],"category_scores_gemma":[0.004402267,0.0006015951,0.0004901278,0.01643493,0.0002240132,0.001793413,0.00118251,0.0008734913,0.1039057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001786901,"about_ca_system_score_gemma":0.005156956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07654355,"about_ca_topic_score_gemma":0.06667491,"domain_scores_codex":[0.9994413,0.00003844398,0.00009053815,0.00005980892,0.0002605857,0.0001092918],"domain_scores_gemma":[0.9975553,0.0001803076,0.000381372,0.0001609902,0.001520061,0.0002020877],"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":[0.000059981,0.00001846674,0.001493082,0.0005898199,0.00000937698,0.00006123879,0.00006369952,0.00009647987,0.0001634887,0.0004415029,0.9647639,0.03223891],"study_design_scores_gemma":[0.00001506377,0.000007239108,0.01009043,0.0003326021,0.000006480306,0.00005391736,0.00008375154,0.00003033144,0.0001563088,0.0001660553,0.9890477,0.00001027083],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.002696309,0.002368612,0.0002863002,0.00162123,0.00139492,0.0001995918,0.9172882,0.0007991475,0.07334566],"genre_scores_gemma":[0.009483851,0.006699095,0.0015877,0.0006728108,0.0003740715,0.0007916399,0.7406812,0.0008295231,0.23888],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0969592,"threshold_uncertainty_score":0.3243608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01171330664866894,"score_gpt":0.2542853332028915,"score_spread":0.2425720265542226,"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."}}