{"id":"W4386201130","doi":"10.1093/gigascience/giad068","title":"The founding charter of the Omic Biodiversity Observation Network (Omic BON)","year":2022,"lang":"en","type":"article","venue":"GigaScience","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Horizon 2020 Framework Programme; Natural Environment Research Council; European Commission; Battelle; National Science Foundation","keywords":"Omics; Charter; Biodiversity; Thematic map; Data science; Geography; Biology; Computer science; Ecology; Bioinformatics; Cartography","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.01183402,0.00006601702,0.00009191059,0.00006694898,0.003423378,0.0004145997,0.00358026,0.000009404811,0.0001162113],"category_scores_gemma":[0.0008481377,0.00003606649,0.00008955329,0.00228864,0.0003612228,0.0002576457,0.002360988,0.0001162532,0.00007494311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007171586,"about_ca_system_score_gemma":0.00007409478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006263289,"about_ca_topic_score_gemma":0.00004002084,"domain_scores_codex":[0.9967903,0.0002716327,0.0003272448,0.000475772,0.001844047,0.0002910078],"domain_scores_gemma":[0.9976325,0.0006908313,0.0003150104,0.001235081,0.00008905818,0.0000375215],"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":[0.00001881328,0.00003581046,0.2270744,0.000001808284,0.000007370246,0.000001334473,0.001303982,0.01582364,0.0005213399,0.007457401,0.7131753,0.03457879],"study_design_scores_gemma":[0.0001648499,0.00003784539,0.4213172,0.000006933372,0.000009200985,0.000003916532,0.002273597,0.0528987,0.000102422,0.01344064,0.5096241,0.0001206078],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9789038,0.00005047284,0.002338704,0.008306468,0.009417055,0.0002018889,0.00001886282,0.0000222433,0.0007405539],"genre_scores_gemma":[0.9952637,0.000002560452,0.000300348,0.000909805,0.00006179803,0.000005176938,0.000001661495,0.000001505106,0.003453444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2035512,"threshold_uncertainty_score":0.997874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1498944972964636,"score_gpt":0.3205717572693741,"score_spread":0.1706772599729104,"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."}}