{"id":"W2073528755","doi":"10.3896/ibra.1.52.1.04","title":"Standard methods for maintaining adult<i>Apis mellifera</i>in cages under<i>in vitro</i>laboratory conditions","year":2013,"lang":"en","type":"article","venue":"Journal of Apicultural Research","topic":"Insect and Arachnid Ecology and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":357,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; Acadia University; Dalhousie University","funders":"FP7 Food, Agriculture and Fisheries, Biotechnology; Natural Environment Research Council; Biotechnology and Biological Sciences Research Council; Ricola Foundation; Wellcome Trust; Department for Environment, Food and Rural Affairs, UK Government; Entomological Society of America","keywords":"Rigour; Biology; Honey bee; Honey Bees; Variety (cybernetics); Toxicology; Ecology; Zoology; Computer science; Artificial intelligence; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.005433714,0.002551301,0.001507713,0.003292618,0.003042321,0.002291036,0.00479304,0.001822724,0.02911707],"category_scores_gemma":[0.006404249,0.001430294,0.002275228,0.002024316,0.00169843,0.001774473,0.002597839,0.003026007,0.03916847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00084616,"about_ca_system_score_gemma":0.002090972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002267496,"about_ca_topic_score_gemma":0.009843199,"domain_scores_codex":[0.9919768,0.001514129,0.001712318,0.001512346,0.002797244,0.0004871169],"domain_scores_gemma":[0.9905289,0.001163195,0.001390799,0.003949631,0.002500834,0.0004666567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009088589,0.0008089049,0.007084546,0.002931051,0.0001683169,0.00150681,0.001472692,0.001038652,0.7794176,0.005246093,0.07056381,0.1288527],"study_design_scores_gemma":[0.0002062467,0.00168972,0.02307327,0.002494898,0.0004017062,0.002234501,0.0006538485,0.00230393,0.3589178,0.00265759,0.6050537,0.0003127559],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05333829,0.0072699,0.7653528,0.002572581,0.003948119,0.03224633,0.04538698,0.01911679,0.07076811],"genre_scores_gemma":[0.05280539,0.009843383,0.7673745,0.003341015,0.0006324521,0.06571283,0.04346173,0.005960688,0.05086806],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02911707,"threshold_uncertainty_score":0.09740633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03916536857149398,"score_gpt":0.4319575616755679,"score_spread":0.3927921931040739,"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."}}