{"id":"W7065941635","doi":"","title":"2019 Fourth Quarter Technical Report - TAAT - Technologies for African Agricultural Transformation","year":2021,"lang":"en","type":"other","venue":"MELSpace (ICARDA (The International Center for Agricultural Research in Dry Areas))","topic":"Astrophysical Phenomena and Observations","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Technical report; Transformation (genetics); Quarter (Canadian coin); Agriculture; Sociotechnical system; Technical communication; Domain (mathematical analysis); Technical standard; Emerging technologies","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":[0.001450311,0.0008961965,0.0003090909,0.001342886,0.001600102,0.003364642,0.000778544,0.001703486,0.1568931],"category_scores_gemma":[0.00150506,0.000295745,0.0004274627,0.001278205,0.0003617574,0.002618371,0.001405874,0.001278256,0.0730846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002248792,"about_ca_system_score_gemma":0.005951524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01697503,"about_ca_topic_score_gemma":0.02419723,"domain_scores_codex":[0.9992855,0.00007500042,0.00001658112,0.0000556342,0.0003957153,0.0001715446],"domain_scores_gemma":[0.9989545,0.0001244942,0.00004839499,0.0001029296,0.0005546818,0.0002150012],"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":[0.0002258946,0.0002123606,0.0007768007,0.0002521359,0.00001098415,0.0001465666,0.0001046524,0.0008849831,0.006665046,0.01231831,0.8817189,0.09668339],"study_design_scores_gemma":[0.00002799714,0.00005332888,0.001134489,0.00003829014,0.000005329255,0.00003591216,0.00007643236,0.0004437591,0.005193852,0.00163126,0.9913512,0.000008038467],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006641637,0.001442254,0.009129068,0.007495466,0.001778923,0.001006724,0.02925968,0.002714944,0.9405313],"genre_scores_gemma":[0.02106085,0.001573068,0.009371727,0.001124885,0.0002060767,0.0004346426,0.01979425,0.001240063,0.9451945],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1568931,"threshold_uncertainty_score":0.5248599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03569929245199657,"score_gpt":0.3158189495307424,"score_spread":0.2801196570787458,"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."}}