{"id":"W4388942993","doi":"10.1016/j.isci.2023.108546","title":"Group size influences maternal provisioning and compensatory larval growth in honeybees","year":2023,"lang":"en","type":"article","venue":"iScience","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Earmarked Fund for Modern Agro-industry Technology Research System; National Research Council; National Academies of Sciences, Engineering, and Medicine; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; U.S. Department of Defense","keywords":"Hatching; Biology; Provisioning; Larva; Zoology; Ecology; Adaptation (eye); Maternal effect; Offspring; Pregnancy; Genetics; Neuroscience","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009078829,0.0001536133,0.0001668631,0.0002639515,0.0001147901,0.0002093586,0.0001172581,0.0001533664,0.0007977658],"category_scores_gemma":[0.0003259286,0.0001121187,0.0001076414,0.00009435593,0.0001651523,0.0001554425,0.0002636792,0.0001774918,0.0001008397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001249101,"about_ca_system_score_gemma":0.000080677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008228877,"about_ca_topic_score_gemma":0.002624516,"domain_scores_codex":[0.999938,0.00001357073,0.000004084392,0.00002234012,0.00001108756,0.00001090075],"domain_scores_gemma":[0.9997876,0.00003699178,0.00009309645,0.00002285455,0.00001302206,0.0000464436],"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":[0.0005002482,0.00008359939,0.1871104,0.00006666097,0.0001130204,0.0002760116,0.0003524103,0.0002204419,0.8002462,0.0001490188,0.0002179331,0.01066397],"study_design_scores_gemma":[0.000002929083,0.00005359621,0.9970583,0.000002186459,0.00001595288,0.00005390371,0.00004984988,0.0002621822,0.002315694,0.00005458141,0.0001279262,0.000002981012],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999599,0.0001168949,0.0000670295,0.000009755176,0.000001370383,9.051065e-7,0.00003648336,0.000004923727,0.0001634413],"genre_scores_gemma":[0.9994975,0.00006401769,0.0001434689,0.00001828669,0.000002213469,0.00000393443,0.00006367494,0.00000548027,0.0002012561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008228877,"threshold_uncertainty_score":0.002668858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0302992781362409,"score_gpt":0.2221004861815652,"score_spread":0.1918012080453244,"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."}}