{"id":"W6962438935","doi":"10.15468/dl.wbrwkv","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); Set (abstract data type)","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":[0.0009837736,0.001969412,0.001569006,0.00500407,0.0009558367,0.002546223,0.002762397,0.001969419,0.1616223],"category_scores_gemma":[0.005857428,0.0008943702,0.00117412,0.01010572,0.0004585852,0.002200799,0.00272166,0.001907834,0.2361248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001628594,"about_ca_system_score_gemma":0.002444231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02238469,"about_ca_topic_score_gemma":0.03700886,"domain_scores_codex":[0.998951,0.0001418347,0.0001347964,0.0003498118,0.0002428767,0.0001795793],"domain_scores_gemma":[0.9975358,0.000633256,0.0002296647,0.0006686164,0.0006382252,0.0002944917],"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":[0.0000312658,0.00001039637,0.0003281887,0.0005406269,0.00001478795,0.00001374731,0.00002219413,0.0001118871,0.0001207338,0.000381465,0.9969951,0.001429665],"study_design_scores_gemma":[0.00006919169,0.000006985267,0.001601467,0.0001729582,0.00001268086,0.00003046393,0.00005734858,0.000114076,0.0001873264,0.0007097558,0.9970221,0.00001554863],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003628477,0.0000253618,0.00003742826,0.00003101486,0.00000969535,0.000005082285,0.9988737,0.0003423666,0.0006392043],"genre_scores_gemma":[0.0001441875,0.00003280097,0.0001654151,0.00004235763,0.000003191675,0.00003778977,0.9990047,0.0001389748,0.0004306861],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8383777,"threshold_uncertainty_score":0.5406803,"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."}}