{"id":"W6905998592","doi":"10.15468/dl.n82qck","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","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":[0.0009950551,0.001986082,0.001617619,0.005336281,0.001010586,0.002653671,0.00272812,0.002154501,0.1656045],"category_scores_gemma":[0.006105977,0.0008834262,0.001310586,0.01023515,0.0004644545,0.002307388,0.002629751,0.001969059,0.2403291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001614164,"about_ca_system_score_gemma":0.002448111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02354521,"about_ca_topic_score_gemma":0.03587478,"domain_scores_codex":[0.9989287,0.0001459726,0.0001355839,0.0003715734,0.000235088,0.0001830541],"domain_scores_gemma":[0.997357,0.0007746801,0.0002322899,0.0006824693,0.0006610046,0.0002924715],"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":[0.00002833544,0.00001161462,0.0003855007,0.0005590631,0.00001393427,0.00001554525,0.00002354898,0.0001147355,0.0001133615,0.0003348897,0.9969711,0.001428322],"study_design_scores_gemma":[0.00007087016,0.000009631499,0.002096391,0.0002276801,0.00001531677,0.00003861387,0.00008508653,0.0001464826,0.0001892387,0.0007043626,0.9963984,0.0000179419],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004274268,0.00002840675,0.00003686501,0.00003885435,0.00001266412,0.000005595551,0.9988617,0.0003544645,0.0006186993],"genre_scores_gemma":[0.0001547075,0.00003618384,0.0001717623,0.00004614739,0.000003760588,0.0000414561,0.9989346,0.0001335676,0.0004779037],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8343955,"threshold_uncertainty_score":0.5540023,"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."}}