{"id":"W6906062352","doi":"10.15468/dl.zzrz4r","title":"Occurrence Download","year":2024,"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); 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":[0.0009426258,0.001894687,0.001458768,0.004746614,0.0009731589,0.002306533,0.002846839,0.002022823,0.1429143],"category_scores_gemma":[0.005889809,0.0008949516,0.001138348,0.009073162,0.0004392264,0.002279148,0.002408162,0.001955652,0.2020221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00166815,"about_ca_system_score_gemma":0.002365721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02417858,"about_ca_topic_score_gemma":0.04136461,"domain_scores_codex":[0.9989811,0.0001353414,0.0001266255,0.0003567421,0.0002347543,0.0001655245],"domain_scores_gemma":[0.9975933,0.0006392943,0.0002282316,0.0006429632,0.0006152779,0.0002808028],"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":[0.00002685848,0.00001129747,0.0003899434,0.0004402687,0.00001302248,0.00001350639,0.00002151695,0.0001227602,0.0001049207,0.0003421904,0.9971586,0.001355178],"study_design_scores_gemma":[0.00006683336,0.000008060115,0.001938469,0.000172162,0.00001303154,0.00003581275,0.00007527295,0.0001638671,0.0001929185,0.0007238953,0.9965925,0.00001711726],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004647972,0.00002519032,0.00004434369,0.00003820813,0.00001143132,0.000005268267,0.998791,0.0003850741,0.0006530772],"genre_scores_gemma":[0.000166637,0.00002859287,0.0001958403,0.00003973375,0.000003056385,0.00003729331,0.9989198,0.000134568,0.0004743667],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8570857,"threshold_uncertainty_score":0.4780961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}