{"id":"W6906061313","doi":"10.15468/dl.xhsmbb","title":"Occurrence Download","year":2024,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Herbarium; Download; Matching (statistics); State (computer science); Range (aeronautics)","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":[0.0009419651,0.002128671,0.001609172,0.005238342,0.001193118,0.002718085,0.003008273,0.002357889,0.1590221],"category_scores_gemma":[0.006393656,0.0009611528,0.001405416,0.009654871,0.0004614523,0.002731694,0.002878577,0.002077936,0.224752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001864344,"about_ca_system_score_gemma":0.002478128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02352766,"about_ca_topic_score_gemma":0.04291302,"domain_scores_codex":[0.9988431,0.000151886,0.0001460771,0.0004084331,0.0002584163,0.0001920446],"domain_scores_gemma":[0.9974854,0.0006902499,0.000213709,0.0006709523,0.0006540454,0.0002857544],"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":[0.00003565114,0.00001308247,0.0004093827,0.000588015,0.000015376,0.00001807408,0.00002417066,0.0001437503,0.0001189537,0.0003963067,0.9964172,0.001820198],"study_design_scores_gemma":[0.00007351538,0.000009697837,0.001697286,0.0002038261,0.00001317184,0.00004251309,0.0000754307,0.0001990043,0.0001825539,0.000786406,0.9966983,0.00001839617],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005272684,0.00003593386,0.00005748553,0.00004384352,0.00001551644,0.000006722576,0.9984789,0.0005479185,0.0007609621],"genre_scores_gemma":[0.0001678843,0.00003647509,0.0002532769,0.00004894139,0.000003935404,0.00004301498,0.9987922,0.0001589592,0.0004953375],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8409779,"threshold_uncertainty_score":0.531982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}