{"id":"W6943708910","doi":"10.15468/dl.vundua","title":"Occurrence Download","year":2023,"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); Alien; Data source","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":[0.001041263,0.001909928,0.001561525,0.004925314,0.00105785,0.002666148,0.002817326,0.002164475,0.1629636],"category_scores_gemma":[0.006258341,0.0009053607,0.001244649,0.009311186,0.0004520688,0.002427495,0.002559652,0.002103423,0.2335482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001611026,"about_ca_system_score_gemma":0.002351383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02132544,"about_ca_topic_score_gemma":0.03476055,"domain_scores_codex":[0.9989078,0.0001525917,0.0001334434,0.0003828092,0.0002427851,0.0001805381],"domain_scores_gemma":[0.9973208,0.0007666895,0.0002325541,0.0007259203,0.0006615778,0.0002924208],"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":[0.00002687932,0.00001130178,0.0003490818,0.0004573104,0.00001308818,0.00001392587,0.00002195944,0.0001135472,0.0001072848,0.0003763138,0.99717,0.001339201],"study_design_scores_gemma":[0.00006712592,0.000008260893,0.001807149,0.0001915709,0.00001331174,0.00003555846,0.00007527819,0.0001430047,0.0001789988,0.000798374,0.9966637,0.00001755311],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000428023,0.00002584338,0.0000458809,0.00004049524,0.0000133491,0.000005606538,0.9987757,0.0003778029,0.0006726193],"genre_scores_gemma":[0.0001526984,0.00003113228,0.0001976665,0.00004708022,0.000003625917,0.00004226527,0.998896,0.000145221,0.0004843699],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8370364,"threshold_uncertainty_score":0.5451674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}