{"id":"W6943341344","doi":"10.15468/dl.t64479","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; The Internet","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":[0.001064357,0.001904507,0.001583432,0.005127503,0.001042322,0.002577611,0.002782991,0.002215191,0.1488381],"category_scores_gemma":[0.006495066,0.0009179509,0.00125207,0.009863328,0.0004636479,0.002380116,0.002548013,0.002086872,0.2059492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001691954,"about_ca_system_score_gemma":0.002489932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02285038,"about_ca_topic_score_gemma":0.0374626,"domain_scores_codex":[0.9988595,0.0001610656,0.00014539,0.0004039778,0.0002457054,0.0001844054],"domain_scores_gemma":[0.9972308,0.000833306,0.0002535651,0.0007211635,0.0006679076,0.0002932315],"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":[0.00003109979,0.00001254585,0.0004317134,0.0005816629,0.00001573386,0.00001597989,0.00002513566,0.0001414379,0.0001260062,0.000413068,0.996756,0.001449531],"study_design_scores_gemma":[0.00007120244,0.000009134395,0.002004166,0.0002061054,0.00001542239,0.00003820537,0.00007923006,0.000159733,0.000196208,0.0008465815,0.9963547,0.00001937024],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004281024,0.00002588223,0.00004285431,0.00003794213,0.00001167261,0.000005232677,0.9988999,0.0003518758,0.000581753],"genre_scores_gemma":[0.0001676964,0.00003319288,0.0002051481,0.0000467393,0.000003429401,0.00004379146,0.9989107,0.0001382122,0.0004510545],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8511618,"threshold_uncertainty_score":0.4979132,"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."}}