{"id":"W6943188678","doi":"10.15468/dl.54ff4s","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","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":[0.0008527401,0.002071452,0.001486473,0.00454417,0.001003236,0.002368422,0.002779862,0.001886175,0.1457899],"category_scores_gemma":[0.005791267,0.000876618,0.001253041,0.008835396,0.0004293716,0.002178311,0.002452382,0.001835294,0.2019644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001578043,"about_ca_system_score_gemma":0.002367747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02557386,"about_ca_topic_score_gemma":0.04474663,"domain_scores_codex":[0.9989985,0.0001273589,0.000129157,0.0003529291,0.000230242,0.0001618216],"domain_scores_gemma":[0.9977306,0.000623226,0.0002134242,0.0005846702,0.0005925725,0.0002556561],"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":[0.00003077777,0.00001149881,0.0003895228,0.0004807612,0.00001401422,0.00001438998,0.00002183262,0.0001280876,0.0001090488,0.0003727001,0.9968928,0.00153436],"study_design_scores_gemma":[0.00007662633,0.00001024744,0.001910014,0.0001800028,0.00001477605,0.00004175353,0.0000679509,0.000190354,0.0002012211,0.0008537274,0.9964343,0.00001898263],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000515598,0.00003093073,0.00004980556,0.0000369365,0.00001306442,0.00000545699,0.9985992,0.000501876,0.0007111395],"genre_scores_gemma":[0.0001595093,0.00003252619,0.0002162491,0.00004474506,0.000003182426,0.00003575889,0.9988647,0.0001530936,0.0004903252],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8542101,"threshold_uncertainty_score":0.4877157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01437393559742932,"score_gpt":0.2320798631925623,"score_spread":0.217705927595133,"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."}}