{"id":"W6924570049","doi":"10.15468/dl.rhwbeq","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); Measure (data warehouse)","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":[0.0009325964,0.001915431,0.001566576,0.00501604,0.0009765951,0.002542859,0.00266805,0.002106932,0.155943],"category_scores_gemma":[0.005875506,0.0008542952,0.001291488,0.009385999,0.0004333875,0.002244723,0.00243796,0.001933731,0.2193397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001565509,"about_ca_system_score_gemma":0.002229879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02176445,"about_ca_topic_score_gemma":0.03369649,"domain_scores_codex":[0.9989743,0.0001437162,0.0001309096,0.0003616949,0.0002179086,0.0001714305],"domain_scores_gemma":[0.9975677,0.0007469786,0.0002213924,0.0006069958,0.0005972661,0.0002596137],"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":[0.00003085599,0.00001202709,0.0004234798,0.0006099383,0.0000155321,0.00001687954,0.00002286956,0.0001302029,0.0001208851,0.0003430538,0.9967584,0.001515892],"study_design_scores_gemma":[0.00007645907,0.000009994053,0.002147746,0.0002359552,0.00001664186,0.00004132166,0.00008343957,0.0001800719,0.0002009478,0.0007464083,0.996242,0.00001882847],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004465743,0.00003081881,0.00003893438,0.00003906466,0.00001247678,0.000005507143,0.9988812,0.0003615794,0.0005857814],"genre_scores_gemma":[0.0001778017,0.00003859631,0.0001916714,0.00004933248,0.000004013463,0.00004318103,0.9989007,0.0001331321,0.0004615194],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.844057,"threshold_uncertainty_score":0.5216813,"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."}}