{"id":"W4392579883","doi":"10.5194/egusphere-egu24-9930","title":"Soil-crop long-term feedback matters to assess climate change impact on maize yield in Sub-Saharan Africa","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Crop Yield and Soil Fertility","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Yield (engineering); Term (time); Environmental science; Climate change; Crop; Agronomy; Agroforestry; Crop yield; Agricultural engineering; Geography; Agricultural economics; Economics; Ecology; Biology; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004640485,0.0005651393,0.000629829,0.00006966374,0.0001028723,0.000485829,0.0006728793,0.0004644443,0.001954722],"category_scores_gemma":[0.00003361593,0.0001992226,0.0004695687,0.0003987217,0.00004830251,0.00007117717,0.001385159,0.0009241125,0.001071363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001811037,"about_ca_system_score_gemma":0.00001587827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002634884,"about_ca_topic_score_gemma":0.0104119,"domain_scores_codex":[0.9970707,0.0001031588,0.0004918604,0.001097812,0.0003762654,0.0008601501],"domain_scores_gemma":[0.9990212,0.0002691636,0.00008934735,0.0002641374,0.00004776878,0.0003083982],"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":[0.002863912,0.002482557,0.2600389,0.002286284,0.0003625876,0.001202768,0.002278873,0.0002833379,0.1658175,0.0002222789,0.09972895,0.462432],"study_design_scores_gemma":[0.00007636954,0.0002570105,0.99567,0.0007291408,0.00002448942,0.00000414033,0.00003874597,0.00007691234,0.001593523,0.0004491875,0.0004748434,0.0006057047],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9797337,0.0004374377,6.832975e-7,0.01213789,0.0008583617,0.000931932,0.0004878142,0.0002161884,0.005195973],"genre_scores_gemma":[0.9962469,0.0004534596,0.000007912971,0.002016205,0.0005641501,0.0001658172,0.0001411242,0.000005210753,0.0003991853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.735631,"threshold_uncertainty_score":0.9997064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1007597009596735,"score_gpt":0.3022137972269015,"score_spread":0.201454096267228,"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."}}