{"id":"W6990831949","doi":"","title":"ENHANCING RESPONSE FARMING FOR STRATEGIC AND TACTICAL MANAGEMENT OF\\nRISKS OF SEASONAL RAINFALL VARIABILITY","year":2014,"lang":"en","type":"other","venue":"Bioline International (Bioline International)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Ethiopian Institute of Agricultural Research; Department for International Development; International Development Research Centre","keywords":"Agriculture; Agricultural productivity; Productivity; Exclosure; Work (physics)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0006404034,0.0002756316,0.0001317253,0.0003858164,0.0004438121,0.0009506078,0.0006671516,0.0004175087,0.02213545],"category_scores_gemma":[0.0007830003,0.00009850736,0.0001889325,0.0003396314,0.0001807656,0.0005299276,0.001231347,0.0003044106,0.003725243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006114409,"about_ca_system_score_gemma":0.001610316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006729966,"about_ca_topic_score_gemma":0.02284454,"domain_scores_codex":[0.9997479,0.00006061799,0.000008801157,0.00004743865,0.00007464556,0.00006054254],"domain_scores_gemma":[0.9995843,0.00006416866,0.00006992237,0.00005601162,0.0001141126,0.0001114496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004415632,0.001194007,0.02532125,0.0003238896,0.00003707526,0.0006057759,0.001077652,0.006547647,0.07864162,0.006157131,0.03748215,0.8421703],"study_design_scores_gemma":[0.0002987549,0.001895667,0.2180817,0.0006079942,0.0001671212,0.001200293,0.008933045,0.07004453,0.05161456,0.01764019,0.6294109,0.0001053447],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.395781,0.0006037353,0.08322667,0.004469022,0.0002742766,0.0008612118,0.001236417,0.003371157,0.5101765],"genre_scores_gemma":[0.7220646,0.0006181684,0.1053401,0.0007597828,0.00006079106,0.0002457023,0.00121537,0.0003614367,0.1693341],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02213545,"threshold_uncertainty_score":0.07405043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02588011397306185,"score_gpt":0.3266681294065167,"score_spread":0.3007880154334549,"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."}}