{"id":"W7024228472","doi":"","title":"Q&A Questions and answers with the executive secretary","year":2022,"lang":"en","type":"other","venue":"Economic Commission for Africa Knowledge Repository (Economic Commission for Africa)","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Accountability; Negotiation; Session (web analytics); Questions and answers; Work (physics); Quarter (Canadian coin)","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":[0.04160529,0.001086255,0.001272529,0.00263005,0.007348598,0.01999461,0.002299157,0.01478205,0.1974003],"category_scores_gemma":[0.1203925,0.0008362357,0.001299146,0.00267432,0.00490912,0.01401903,0.008868241,0.01382921,0.1526454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006617135,"about_ca_system_score_gemma":0.01900928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003951128,"about_ca_topic_score_gemma":0.003513464,"domain_scores_codex":[0.9694247,0.01159664,0.002572297,0.00157907,0.01163724,0.00319005],"domain_scores_gemma":[0.90613,0.04197848,0.003782087,0.005100857,0.0311646,0.01184405],"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":[0.00001202083,0.00001546936,0.00006460182,0.00004259731,0.000001289652,0.00003150582,0.0002252364,0.00001919391,0.00006996769,0.005062702,0.9822826,0.01217288],"study_design_scores_gemma":[0.000005811362,0.000008200042,0.0000747961,0.00004764324,8.254914e-7,0.0000180782,0.0003933956,0.00002670131,0.00006378593,0.00178578,0.9975665,0.000008582112],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.001199123,0.003682703,0.007535384,0.5794184,0.116649,0.001219884,0.002309931,0.002384295,0.2856013],"genre_scores_gemma":[0.01168884,0.00341651,0.009483787,0.2184821,0.03607084,0.001766843,0.001738064,0.002420361,0.7149327],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1974003,"threshold_uncertainty_score":0.6603699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02802367355369452,"score_gpt":0.2851432405941059,"score_spread":0.2571195670404114,"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."}}