{"id":"W4206393304","doi":"10.31073/abg.62.02","title":"ANDRIY PETROVYCH KRUGLYAK – FAMOUS SCIENTIST AND PRACTITIONER IN THE FIELD OF SELECTION AND REPRODUCTION OF FARM ANIMALS","year":2021,"lang":"en","type":"article","venue":"Animal Breeding and Genetics","topic":"Agriculture and Biological Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reproduction; Selection (genetic algorithm); Field (mathematics); Zoology; Biology; Art; Computer science; Ecology; Artificial intelligence; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002076869,0.00006115068,0.0001126557,0.000006800068,0.0001274012,0.00002767753,0.00003279564,0.00005378871,0.000009216453],"category_scores_gemma":[0.0001155271,0.00002097366,0.00001684248,0.0002331328,0.0000747874,0.0000251824,0.00004315889,0.00006351901,9.181042e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002217449,"about_ca_system_score_gemma":0.000001926415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001102313,"about_ca_topic_score_gemma":0.0007391246,"domain_scores_codex":[0.9994454,0.00003718892,0.0001311171,0.0002120946,0.00008588851,0.00008831509],"domain_scores_gemma":[0.999666,0.0001495732,0.00006588017,0.00001875481,0.00008259254,0.00001714972],"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":[0.00002929872,0.00004505349,0.1393164,0.0000148839,0.000007296668,0.000001294797,0.0001829643,4.322654e-7,0.8343323,0.000319249,0.0002252694,0.02552553],"study_design_scores_gemma":[0.0000779384,0.001124224,0.9510863,0.00001465189,0.00001711427,0.00005762918,0.002128835,0.00001362472,0.04187586,0.0002556213,0.003283295,0.00006488647],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994409,0.003018652,0.000001928713,0.002149894,0.00002483392,0.00005939126,0.000005207393,0.00000444245,0.0003266594],"genre_scores_gemma":[0.9979673,0.00166816,0.0001214582,0.0001028316,0.0001032673,0.000002099804,0.000003651424,2.519683e-7,0.00003098266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8117699,"threshold_uncertainty_score":0.09798798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02088765809040728,"score_gpt":0.2520690575679209,"score_spread":0.2311813994775136,"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."}}