{"id":"W2910655061","doi":"10.1111/imb.12567","title":"The honey bee gut microbiota: strategies for study and characterization","year":2019,"lang":"en","type":"review","venue":"Insect Molecular Biology","topic":"Insect and Pesticide Research","field":"Agricultural and Biological Sciences","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"Mitacs; Consejo Nacional de Ciencia y Tecnología; Genome Canada","keywords":"Biology; Gut flora; Honey bee; Microbiome; Gut microbiome; Metagenomics; Pollinator; Ecology; Zoology; Bioinformatics; Pollination; Immunology; Genetics; Pollen","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004200036,0.0002934587,0.0006869538,0.00002784968,0.0003120016,0.0002098333,0.0004076724,0.0003514047,0.00002983308],"category_scores_gemma":[0.00006420808,0.00008977913,0.0002119674,0.0002211548,0.0001202969,0.00003375146,0.0001527249,0.0002440082,0.00002595415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002205551,"about_ca_system_score_gemma":0.00008246753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001068472,"about_ca_topic_score_gemma":0.0001483844,"domain_scores_codex":[0.9982232,0.0005082157,0.0003343922,0.0004514215,0.00007737,0.0004053546],"domain_scores_gemma":[0.9988868,0.0006923418,0.0001808237,0.0000991925,0.00009105934,0.0000498358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001684178,0.00004417669,0.00002537482,0.0004590481,0.000108816,0.000004279409,0.00002642749,1.269291e-8,0.222582,0.0009507645,0.00002540073,0.7757568],"study_design_scores_gemma":[0.0001425851,0.001452548,0.0003948138,0.000252657,0.0001889153,0.00003036371,0.00007731384,0.000003533765,0.00005277939,0.0005469007,0.9965057,0.0003519147],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.05363304,0.9427494,0.00003338317,0.0000873331,0.0002605295,0.002846599,0.0002889205,0.00003082391,0.00006992873],"genre_scores_gemma":[0.01499381,0.9832346,0.000009684868,0.00005969669,0.0002573761,0.0003054649,0.0009993622,0.000004964289,0.0001350725],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9964803,"threshold_uncertainty_score":0.3661087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0808602611966938,"score_gpt":0.3569747784880159,"score_spread":0.2761145172913221,"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."}}