{"id":"W3095679327","doi":"10.5539/jas.v12n11p123","title":"Integrated Multi-criteria Land Suitability Evaluation and Mapping for Scaling Malt Barley Varieties in Rain-Fed Production Areas of Ethiopia","year":2020,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"United States Agency for International Development","keywords":"Drainage; Altitude (triangle); Land use; Digital elevation model; Environmental science; Geography; Agronomy; Mathematics; Remote sensing; Biology; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.001483651,0.0005847165,0.0005368019,0.005025836,0.0004057455,0.001725145,0.0004164728,0.0003015081,0.0009548945],"category_scores_gemma":[0.001515233,0.0002721588,0.000938669,0.003549838,0.0002010448,0.0005619655,0.0007403889,0.0001997718,0.0001722198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008140155,"about_ca_system_score_gemma":0.0007264792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01168745,"about_ca_topic_score_gemma":0.01677656,"domain_scores_codex":[0.9992377,0.0002896238,0.00007745862,0.0001107881,0.0001793993,0.0001051201],"domain_scores_gemma":[0.9993742,0.0002005265,0.000110409,0.00004052511,0.0001962836,0.00007801622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001198386,0.000457473,0.6062473,0.0009273052,0.0006884283,0.003446402,0.003860398,0.124693,0.04787144,0.002471343,0.002171563,0.2059668],"study_design_scores_gemma":[0.00005828864,0.0004403043,0.7272176,0.0001823387,0.0002233499,0.0006563541,0.01125846,0.244117,0.009210652,0.001635912,0.004882119,0.0001175777],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799623,0.0001672228,0.01571798,0.00003982148,0.000005524131,0.0001713708,0.001783034,0.00008552429,0.002067231],"genre_scores_gemma":[0.9639179,0.0001118711,0.03427894,0.000005383971,0.000002639683,0.0001234402,0.00105329,0.00001896995,0.0004876021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01168745,"threshold_uncertainty_score":0.02323884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0378309534026608,"score_gpt":0.2771029158039713,"score_spread":0.2392719624013105,"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."}}