{"id":"W4412785840","doi":"10.1186/s12859-025-06229-7","title":"The BeeBiome data portal provides easy access to bee microbiome information","year":2025,"lang":"en","type":"article","venue":"BMC Bioinformatics","topic":"Insect and Pesticide Research","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada; Université de Lausanne","keywords":"Metagenomics; Data science; Microbiome; Biology; World Wide Web; Honey bee; Resource (disambiguation); Computer science; Computational biology; Ecology; Bioinformatics; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002038496,0.001478966,0.001657786,0.004283731,0.0007553477,0.00252327,0.002158189,0.002307457,0.0610268],"category_scores_gemma":[0.00857096,0.0009038097,0.0009998002,0.004837762,0.0003502103,0.003602697,0.005268301,0.00230185,0.04525897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007155276,"about_ca_system_score_gemma":0.001691774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005104166,"about_ca_topic_score_gemma":0.01051543,"domain_scores_codex":[0.9989976,0.0001437899,0.0001524231,0.0002348483,0.0003369588,0.0001343854],"domain_scores_gemma":[0.9972343,0.0008465801,0.0003013808,0.0006973688,0.0004649475,0.0004554824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009520467,0.0001354348,0.007715686,0.004160531,0.0002706863,0.0004150625,0.0004168368,0.0008268831,0.01014602,0.003594799,0.9305591,0.04080674],"study_design_scores_gemma":[0.0003004841,0.00005944717,0.01470689,0.0007171878,0.00008581841,0.0002733391,0.0002680303,0.002180716,0.004725497,0.007626804,0.9689214,0.0001343693],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.00197218,0.000650913,0.004067912,0.0003592558,0.0001268802,0.00009611998,0.9698453,0.01811808,0.004763372],"genre_scores_gemma":[0.008116486,0.000571044,0.01406908,0.0003693677,0.00004027308,0.0002958433,0.9717953,0.003057374,0.001685208],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.0610268,"threshold_uncertainty_score":0.204155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06361257686676958,"score_gpt":0.3188988684488425,"score_spread":0.2552862915820729,"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."}}