{"id":"W2173520444","doi":"10.1603/0022-0493-93.6.1606","title":"Application of a Modified Selection Index for Honey Bees (Hymenoptera: Apidae)","year":2000,"lang":"en","type":"article","venue":"Journal of Economic Entomology","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Apidae; Beekeeping; Biology; Selection (genetic algorithm); Hymenoptera; Index (typography); Genetic gain; Apoidea; Honey bee; Biotechnology; Zoology; Ecology; Genetic variation; Artificial intelligence; Computer science; Genetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000153167,0.0000560191,0.0001948161,0.00001554514,0.00004786477,0.000007068787,0.00009853551,0.00005491453,0.0001602283],"category_scores_gemma":[0.000006670724,0.00002425589,0.0000780561,0.00003312719,0.00002623657,0.00006563137,0.000007735466,0.00004628607,0.000007914729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002751198,"about_ca_system_score_gemma":0.000005931101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009633302,"about_ca_topic_score_gemma":0.0005375701,"domain_scores_codex":[0.999489,0.0000175089,0.00028488,0.0000771667,0.00002793813,0.0001035086],"domain_scores_gemma":[0.9995872,0.0001001999,0.0002412335,0.000007858796,0.00003540063,0.00002804349],"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":[0.001442363,0.0002631227,0.1379553,0.00001946675,0.0002337639,0.000002044857,0.000198231,0.001252809,0.4894398,0.004113456,0.001938683,0.363141],"study_design_scores_gemma":[0.002027423,0.004650022,0.8833354,0.00003541185,0.0001084695,0.0003766293,0.0002399427,0.006703516,0.02469606,0.02262513,0.0547718,0.0004302387],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984499,0.0001188017,0.00007511734,0.000449231,0.0000424539,0.00007801899,0.00001218298,0.000004222994,0.0007700441],"genre_scores_gemma":[0.9992917,0.0001319776,0.00006678728,0.00005380603,0.0002929576,0.000005414604,0.000003506901,4.176066e-7,0.0001534868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7453801,"threshold_uncertainty_score":0.1754388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02851894801148416,"score_gpt":0.2360615008091385,"score_spread":0.2075425527976544,"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."}}