{"id":"W6968537438","doi":"10.5281/zenodo.15707495","title":"Odonata Fabricius 1793","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Freshwater macroinvertebrate diversity and ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal British Columbia Museum","funders":"","keywords":"Odonata; Brace; Genus; Range (aeronautics); Holotype","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":[0.00007318424,0.0008497236,0.0003147481,0.00181205,0.001315897,0.0004562172,0.0004481554,0.0003240986,0.04487773],"category_scores_gemma":[0.0002524853,0.0002222792,0.0001373163,0.0008231119,0.0004710702,0.000777788,0.0009316524,0.0004557217,0.01150704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006108307,"about_ca_system_score_gemma":0.0002690828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01810214,"about_ca_topic_score_gemma":0.04577036,"domain_scores_codex":[0.9998817,0.000008206401,0.000008286695,0.00004547389,0.00003560858,0.00002060981],"domain_scores_gemma":[0.9999419,0.000009160116,0.0000196404,0.000005286373,0.00001546056,0.00000840214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003592925,0.00009495912,0.02237389,0.0007557711,0.00004984884,0.001427065,0.00201162,0.0004470612,0.01736099,0.007653376,0.05533365,0.8921325],"study_design_scores_gemma":[0.00004333743,0.0001240143,0.1544726,0.000510426,0.00007925629,0.002324864,0.001746502,0.0002953498,0.001158744,0.001197771,0.8380225,0.00002478586],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1358058,0.007953609,0.003419446,0.0004904931,0.001301082,0.0004907669,0.006868983,0.0003959201,0.8432738],"genre_scores_gemma":[0.7601749,0.004233569,0.005176512,0.0008454554,0.0002620209,0.0003555209,0.007544224,0.00008770594,0.22132],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04487773,"threshold_uncertainty_score":0.150131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02310460363816798,"score_gpt":0.2080421347929251,"score_spread":0.1849375311547571,"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."}}