{"id":"W2345459043","doi":"10.18174/343608","title":"Genetic improvement in indigenous chicken of Ethiopia","year":2015,"lang":"en","type":"dissertation","venue":"","topic":"Livestock and Poultry Management","field":"Agricultural and Biological Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Livestock; Indigenous; Breed; Productivity; Flock; Crossbreed; Poultry farming; Agricultural science; Biosecurity; Geography; Psychological intervention; Veterinary medicine; Socioeconomics; Biotechnology; Biology; Animal science; Economics; Medicine; Economic growth; Forestry; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001367463,0.0001369606,0.0002018966,0.00002073057,0.0000286183,0.00001408365,0.0002328126,0.0001752889,0.0004106107],"category_scores_gemma":[0.000009530532,0.00004731913,0.00005234718,0.0001662905,0.000008223501,0.00002401451,0.00003034524,0.0001236605,0.00002746453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002894042,"about_ca_system_score_gemma":0.00002196722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004224332,"about_ca_topic_score_gemma":0.01771541,"domain_scores_codex":[0.9990792,0.00002686274,0.0002784891,0.0002081123,0.0002361265,0.0001712428],"domain_scores_gemma":[0.999683,0.00002294625,0.0001347999,0.00004888216,0.00006164889,0.00004873526],"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":[0.0001349392,0.0005036057,0.02793405,0.0002973874,0.00007780141,0.00001187146,0.005656965,0.00002692381,0.08138715,0.0003353702,0.002458784,0.8811752],"study_design_scores_gemma":[0.0001587359,0.0007058316,0.983606,0.00006227042,0.0000226618,2.737219e-7,0.002841803,0.000003068782,0.002027398,0.001589256,0.00872412,0.0002585382],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9781314,0.0002493331,9.91415e-8,0.00004808466,0.0002113994,0.0004433414,0.00001416352,0.00001520427,0.02088696],"genre_scores_gemma":[0.9808717,0.0001305433,0.00007759989,0.00006899275,0.0001191448,0.00004177045,0.0005951329,0.000001002438,0.01809412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.955672,"threshold_uncertainty_score":0.9885613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01468764984498546,"score_gpt":0.2435461754874783,"score_spread":0.2288585256424928,"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."}}