{"id":"W4412190574","doi":"10.5376/amb.2024.14.0029","title":"Breeding for Hypoallergenic Traits in Cats: Genetic Insights","year":2024,"lang":"en","type":"article","venue":"Animal Molecular Breeding","topic":"Food Allergy and Anaphylaxis Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Hypoallergenic; CATS; Biology; Genetics; Evolutionary biology; Zoology; Medicine; Internal medicine; Immunology","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":[0.0006329849,0.0005319054,0.0003359067,0.001000382,0.0003584816,0.000580659,0.0005282168,0.0007960658,0.002433901],"category_scores_gemma":[0.0006419644,0.0002019093,0.0002277345,0.0003547105,0.000736677,0.0004064555,0.0004509425,0.001010462,0.0001617696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005040223,"about_ca_system_score_gemma":0.0005226944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001908582,"about_ca_topic_score_gemma":0.003971084,"domain_scores_codex":[0.9996454,0.0001175885,0.00002489189,0.00008403234,0.00008511676,0.00004305801],"domain_scores_gemma":[0.9994627,0.0002082236,0.0001200579,0.00004345143,0.0000543361,0.0001112039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003346341,0.0001980912,0.02191968,0.0001963799,0.00008534597,0.001784001,0.0002512097,0.0009459347,0.9443427,0.005963811,0.0004306322,0.02354757],"study_design_scores_gemma":[0.0001835529,0.001667028,0.5981764,0.0004678066,0.000772174,0.01340828,0.00173363,0.02346811,0.3183604,0.01015869,0.03142573,0.0001782209],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9788725,0.002053621,0.01225097,0.001220008,0.00004715431,0.00005458324,0.000321491,0.00008211593,0.005097635],"genre_scores_gemma":[0.9829183,0.001952295,0.01165931,0.0003761207,0.00002464874,0.00003757036,0.0003387282,0.00004398766,0.002649033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002433901,"threshold_uncertainty_score":0.008142173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0305523699926388,"score_gpt":0.3052570746632602,"score_spread":0.2747047046706215,"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."}}