{"id":"W6905616545","doi":"10.15468/dl.hgvrn7","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":"Download; Matching (statistics); Listing (finance); Range (aeronautics); Order (exchange)","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":[0.0009817483,0.001962252,0.001519814,0.005150319,0.0009241319,0.002464938,0.002721977,0.001759712,0.1700249],"category_scores_gemma":[0.005642294,0.0009034309,0.001214145,0.009324612,0.0004303806,0.002110002,0.002745604,0.001755437,0.2316339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00157574,"about_ca_system_score_gemma":0.002383786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02406219,"about_ca_topic_score_gemma":0.04024473,"domain_scores_codex":[0.9990419,0.0001189092,0.0001257507,0.0003154458,0.0002174102,0.0001805573],"domain_scores_gemma":[0.9976016,0.00057458,0.0002277349,0.0006521797,0.0006512,0.0002926696],"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":[0.00002910415,0.000009259301,0.0003590094,0.0005251974,0.00001470159,0.00001316278,0.0000205074,0.00009973026,0.0001140797,0.0003368711,0.997008,0.001470311],"study_design_scores_gemma":[0.00006474699,0.000007490271,0.00202355,0.000215226,0.00001453453,0.00003311968,0.00006128422,0.0001152943,0.0001966243,0.0006929854,0.9965586,0.00001657981],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003041167,0.00002006833,0.00003291129,0.00002535513,0.00000921939,0.000004846024,0.9989597,0.000324873,0.0005927601],"genre_scores_gemma":[0.0001364289,0.00002997542,0.0001677793,0.00004156047,0.000003129136,0.00003611218,0.9990313,0.0001358094,0.00041788],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8299751,"threshold_uncertainty_score":0.56879,"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."}}