{"id":"W4300631278","doi":"10.5281/zenodo.1293711","title":"Uptake And Use Of Climate Information Services To Enhance Agriculture And Food Production Among Smallholder Farmers In Eastern And Southern Africa Region.","year":2018,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"International Development Research Centre","funders":"","keywords":"Agriculture; Production (economics); Agricultural economics; Agricultural productivity; Business; Food processing; Food security; Agroforestry; Geography; Environmental science; Economics; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001645435,0.0001689515,0.0001147365,0.0004926128,0.0006332036,0.0007108495,0.0002701823,0.0003114227,0.001816683],"category_scores_gemma":[0.005835691,0.0001254217,0.0001288697,0.0007333705,0.0003989126,0.0007982053,0.000947675,0.0002686792,0.0001966696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000842377,"about_ca_system_score_gemma":0.001641606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0101403,"about_ca_topic_score_gemma":0.01639873,"domain_scores_codex":[0.9989533,0.0004550463,0.00003326957,0.00007458091,0.0001890273,0.0002947564],"domain_scores_gemma":[0.9978526,0.0008783187,0.0005998911,0.000064164,0.0002292216,0.0003759103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000143663,0.0003813431,0.835236,0.0003056196,0.00004755347,0.0009681013,0.05285523,0.0002654473,0.004208921,0.0007559145,0.000660984,0.1041711],"study_design_scores_gemma":[0.00001102959,0.0004250666,0.9351303,0.0001440701,0.00002598385,0.0002382547,0.05658043,0.0004173739,0.0005915397,0.0002458365,0.006177845,0.00001227356],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986556,0.00008929089,0.00006476843,0.0001657343,0.00000156842,0.00001962108,0.00003452426,0.000001402988,0.0009674634],"genre_scores_gemma":[0.9993532,0.000125423,0.0001114083,0.00002308234,0.000001217598,0.00001814766,0.0000212092,5.948245e-7,0.0003457714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0101403,"threshold_uncertainty_score":0.02016258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02795768711529586,"score_gpt":0.2039656491466401,"score_spread":0.1760079620313442,"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."}}