{"id":"W6962287471","doi":"10.15468/dl.jz6taq","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); 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":[0.0008806432,0.001974562,0.001560631,0.005084807,0.001057631,0.002824014,0.002843108,0.001899706,0.2027689],"category_scores_gemma":[0.006072616,0.0009935764,0.001153901,0.009724742,0.000459119,0.002460486,0.002874785,0.001999982,0.2642964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001810489,"about_ca_system_score_gemma":0.002509198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02931571,"about_ca_topic_score_gemma":0.04853078,"domain_scores_codex":[0.9991296,0.0001006486,0.00009733633,0.0002889461,0.0002179726,0.0001654973],"domain_scores_gemma":[0.9978505,0.0005776123,0.0001875804,0.0005422019,0.0005842797,0.0002577765],"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":[0.00002423289,0.000008709966,0.0003158876,0.0004780476,0.00001167563,0.00001339806,0.00002506097,0.00009209727,0.0000953983,0.0003754482,0.9971795,0.00138046],"study_design_scores_gemma":[0.00005785971,0.000005842448,0.001560032,0.0002062659,0.00001208796,0.00003221985,0.00007587664,0.0001241881,0.0001763993,0.0007413271,0.9969919,0.00001598674],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003185634,0.00002205488,0.00004449141,0.00003146032,0.000009723264,0.000004839771,0.9985998,0.0004663676,0.0007893101],"genre_scores_gemma":[0.000171559,0.00003593131,0.0002256019,0.0000459147,0.000003255618,0.00004508855,0.9986425,0.0002539493,0.0005762724],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7972311,"threshold_uncertainty_score":0.6783295,"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."}}