{"id":"W2981921936","doi":"10.1080/21665095.2019.1678186","title":"The impact of adaptation practices on crop productivity in northwest Ethiopia: an endogenous switching estimation","year":2019,"lang":"en","type":"article","venue":"Development Studies Research","topic":"Agricultural Innovations and Practices","field":"Agricultural and Biological Sciences","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Productivity; Yield (engineering); Psychological intervention; Climate change; Crop productivity; Adaptation (eye); Agricultural economics; Crop yield; Crop; Estimation; Geography; Economics; Psychology; Economic growth; Agronomy; Forestry; Ecology","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":[0.003024951,0.0001029015,0.0001407768,0.00003941471,0.0007569864,0.00009750122,0.0002092349,0.00004415866,0.00003252017],"category_scores_gemma":[0.001301741,0.00002970335,0.00002495144,0.0009616765,0.00005330607,0.0005608939,0.00009866327,0.000336849,0.00003736985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001599158,"about_ca_system_score_gemma":0.00006629933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003198046,"about_ca_topic_score_gemma":0.01310042,"domain_scores_codex":[0.998266,0.0004071801,0.00027932,0.0002619932,0.0005104191,0.0002750826],"domain_scores_gemma":[0.9970245,0.001950945,0.0003126728,0.00007517404,0.000609634,0.00002711547],"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":[0.000419911,0.0007067018,0.2416409,0.00005018869,0.0002017873,0.000004300181,0.01666618,0.003196341,0.121599,0.0006663982,0.0001443454,0.614704],"study_design_scores_gemma":[0.00008249394,0.0004940624,0.9865755,0.00003563519,0.000001652635,0.000002552373,0.009425581,0.0004520144,0.001590426,0.0001735844,0.001071662,0.00009484754],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970495,0.000135363,7.491812e-7,0.001207334,0.00005536535,0.0005288065,0.000002622824,0.00001223823,0.001008006],"genre_scores_gemma":[0.9992604,0.0001959746,0.0002408718,0.000005727366,0.00004800289,0.0000587795,0.00003511842,7.741722e-7,0.0001544031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7449346,"threshold_uncertainty_score":0.7310342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3676637463799562,"score_gpt":0.4549979595958999,"score_spread":0.08733421321594376,"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."}}