{"id":"W7026566035","doi":"","title":"African rainfall variability: science and society","year":2018,"lang":"en","type":"article","venue":"CentAUR (University of Reading)","topic":"Nuclear Materials and Properties","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Livelihood; Climate change; Economic shortage; Work (physics); Relevance (law); Extreme weather; Quarter (Canadian coin); Flash flood","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":[0.001817307,0.0006496967,0.0005743694,0.002723132,0.003004361,0.007381388,0.0006769013,0.001899834,0.01258789],"category_scores_gemma":[0.01134658,0.0003006043,0.0002408235,0.006061565,0.004997163,0.00925543,0.003901609,0.003435323,0.002088663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002155758,"about_ca_system_score_gemma":0.003290648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003833538,"about_ca_topic_score_gemma":0.003656769,"domain_scores_codex":[0.9986352,0.000670146,0.00008910194,0.0001375513,0.0002754103,0.0001926916],"domain_scores_gemma":[0.9967969,0.001669218,0.0004159618,0.0003024415,0.0004580575,0.0003573532],"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":[0.00004639396,0.00002415058,0.004081347,0.001196398,0.0000316395,0.0003292243,0.0118592,0.0003820323,0.0002345722,0.219291,0.4312787,0.3312454],"study_design_scores_gemma":[0.000003488618,0.00001067469,0.003733817,0.001000877,0.000006325016,0.000166437,0.003531842,0.0001338454,0.00006329116,0.05816344,0.9331724,0.0000135402],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01147965,0.496672,0.003416494,0.2993644,0.02378973,0.00005881162,0.001402974,0.0002254705,0.1635905],"genre_scores_gemma":[0.3236951,0.5816453,0.002573519,0.0192344,0.04396861,0.0001457493,0.0009712946,0.0002304223,0.02753573],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01258789,"threshold_uncertainty_score":0.04211074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01014901831663139,"score_gpt":0.1882547717125361,"score_spread":0.1781057533959047,"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."}}