{"id":"W4388109586","doi":"10.1007/s10668-023-03949-9","title":"Gendered determinants of adaptation in growing maize in smallholder agriculture in East Africa","year":2023,"lang":"en","type":"article","venue":"Environment Development and Sustainability","topic":"Agricultural Innovations and Practices","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Adaptation (eye); Spouse; Context (archaeology); Agriculture; Affect (linguistics); Tanzania; Adaptive strategies; Geography; Sustainable development; Socioeconomics; Demographic economics; Psychology; Political science; Sociology; Economics; Ecology; Environmental planning; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.0006602985,0.0001204773,0.0001730643,0.00005009556,0.00006493722,0.00001845333,0.00008588091,0.0000858534,0.00005520793],"category_scores_gemma":[0.00006932455,0.00005180798,0.00001922367,0.0007463091,0.00003689782,0.0003083271,0.00008867482,0.0001134015,0.000003025477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000168646,"about_ca_system_score_gemma":0.00001573621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002398772,"about_ca_topic_score_gemma":0.001745895,"domain_scores_codex":[0.9987947,0.00009439009,0.0004116234,0.0002749843,0.0001581535,0.000266086],"domain_scores_gemma":[0.9997137,0.0001112683,0.00009055645,0.00003464301,0.00001875711,0.0000311269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003238427,0.0001671961,0.9139994,0.00004330391,0.000002895664,0.00002395536,0.005876306,0.0003939193,0.002828312,0.00007076497,0.00002142762,0.07654013],"study_design_scores_gemma":[0.0001750336,0.00002612683,0.9730949,0.00001768591,0.000001241303,7.6166e-7,0.02243578,0.0001868441,0.0003428329,0.0005053752,0.003082466,0.0001309305],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985672,0.00007122383,0.000001499224,0.0008772011,0.00001468055,0.0003331555,0.0000021342,0.00001142581,0.0001214658],"genre_scores_gemma":[0.9993947,0.00005497588,0.000159257,0.00001322171,0.000008891447,0.00006239086,0.00003819786,6.183734e-7,0.0002677967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0764092,"threshold_uncertainty_score":0.2112668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04207508440826269,"score_gpt":0.2274298004890792,"score_spread":0.1853547160808165,"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."}}