{"id":"W6961895610","doi":"10.15468/dl.6e44yb","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); Range (aeronautics); Key (lock)","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":[0.0008855319,0.001903578,0.001514155,0.004875473,0.0009860651,0.002574618,0.002755322,0.002031357,0.1751152],"category_scores_gemma":[0.006123901,0.0008802128,0.001155798,0.00939196,0.0004147482,0.002310999,0.002478462,0.001911307,0.2338648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001708032,"about_ca_system_score_gemma":0.002347264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02434552,"about_ca_topic_score_gemma":0.03754798,"domain_scores_codex":[0.9990546,0.0001222797,0.0001189937,0.0003290213,0.0002151907,0.0001599253],"domain_scores_gemma":[0.9977542,0.000650864,0.0002016714,0.0005509958,0.0005813981,0.0002609153],"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":[0.00002625802,0.00001016705,0.0003314032,0.0004924464,0.00001263233,0.00001461714,0.00002237489,0.0001056861,0.0001030482,0.0003650101,0.9972132,0.001303143],"study_design_scores_gemma":[0.00007068922,0.000008113293,0.001753894,0.0002045433,0.00001454639,0.00003856498,0.00007884605,0.0001605895,0.0001971368,0.0007843758,0.9966707,0.00001790603],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004097028,0.00002791978,0.00004452804,0.00003960191,0.00001242064,0.000005331497,0.9986978,0.0004249414,0.0007065114],"genre_scores_gemma":[0.0001706462,0.00003592777,0.0001979787,0.00005036479,0.000003587455,0.00004164666,0.9988041,0.000165832,0.0005299624],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8248848,"threshold_uncertainty_score":0.5858186,"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."}}