{"id":"W6962263791","doi":"10.15468/dl.kqjdgk","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Range (aeronautics); Set (abstract data type); Identification (biology); Download","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009544197,0.002279269,0.001617283,0.004426119,0.001006845,0.002546788,0.003067503,0.001968054,0.1326475],"category_scores_gemma":[0.005825674,0.0009395612,0.001223683,0.008857601,0.0004690838,0.002313531,0.002571324,0.001989577,0.1913024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001727598,"about_ca_system_score_gemma":0.002590591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0246005,"about_ca_topic_score_gemma":0.04140415,"domain_scores_codex":[0.9989938,0.0001367456,0.0001333077,0.0003568607,0.0002222526,0.0001570625],"domain_scores_gemma":[0.9979152,0.0005612558,0.0001962761,0.0005362322,0.0005295057,0.0002615087],"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":[0.00003953932,0.00001366497,0.0004019675,0.0005687405,0.00001634183,0.00001738172,0.000024673,0.000152194,0.0001299285,0.0004569815,0.9965995,0.001579135],"study_design_scores_gemma":[0.00008923011,0.000009786836,0.001585868,0.0001755035,0.00001499615,0.00004284228,0.00006837473,0.0002141197,0.0002202226,0.000943205,0.9966167,0.00001919976],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005296105,0.00003329313,0.00005760431,0.00003710459,0.0000115004,0.000006188093,0.9984983,0.0006072307,0.0006957507],"genre_scores_gemma":[0.0001624379,0.00003670412,0.0002418017,0.00004500691,0.000002725859,0.00003501349,0.9988773,0.0001779985,0.0004208678],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8673525,"threshold_uncertainty_score":0.4437501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0089153214616674,"score_gpt":0.2136767702076688,"score_spread":0.2047614487460014,"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."}}