{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006039203,0.0002146516,0.0001572187,0.0005380359,0.0002535757,0.0003406912,0.0002406135,0.0001154669,0.000568783],"category_scores_gemma":[0.0003733287,0.00006959699,0.0001887838,0.0003172628,0.0001862838,0.000120637,0.0001797042,0.0001479733,0.00004961815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004531751,"about_ca_system_score_gemma":0.0004531587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00834537,"about_ca_topic_score_gemma":0.0178392,"domain_scores_codex":[0.999803,0.0000606529,0.00001147722,0.00004354514,0.00003718473,0.00004416883],"domain_scores_gemma":[0.9997836,0.00004867511,0.00007786454,0.00001215146,0.00004629933,0.00003154682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001310812,0.001220926,0.5395705,0.0008128569,0.0004700007,0.007622101,0.007562359,0.003537334,0.27011,0.002736014,0.0005511254,0.164496],"study_design_scores_gemma":[0.00003227656,0.002418333,0.970358,0.0001724288,0.0002199781,0.001936079,0.007947148,0.001947479,0.009851585,0.0003541557,0.004736016,0.00002655322],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989819,0.0002067484,0.0002074151,0.0000225309,0.000002348916,0.000008759058,0.0000214093,0.000001669516,0.0005471518],"genre_scores_gemma":[0.9973636,0.0004239941,0.001347457,0.00002019678,0.000002025601,0.000006220955,0.00003811771,9.780754e-7,0.0007972564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00834537,"threshold_uncertainty_score":0.01659358,"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."}}