{"id":"W6905800299","doi":"10.15468/dl.hgxw9p","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); Identification (biology); 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":[0.001019601,0.002043337,0.00160745,0.004646823,0.0009722099,0.002403265,0.003027196,0.002163218,0.1521671],"category_scores_gemma":[0.006089343,0.0009277699,0.001214065,0.009347391,0.0004598791,0.002383206,0.002642162,0.00201642,0.2125014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001690391,"about_ca_system_score_gemma":0.002357156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02221658,"about_ca_topic_score_gemma":0.03520017,"domain_scores_codex":[0.9990034,0.0001325139,0.000127432,0.000349722,0.0002198045,0.0001672121],"domain_scores_gemma":[0.9976616,0.0006385437,0.0002179405,0.0006378399,0.0005672035,0.0002768637],"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":[0.0000299699,0.00001246188,0.0003767256,0.000480529,0.00001481498,0.00001394191,0.0000215286,0.0001459516,0.0001119785,0.0003364658,0.9971162,0.00133946],"study_design_scores_gemma":[0.00008825756,0.000009880715,0.002029062,0.0001783984,0.00001540467,0.00003702063,0.00007701955,0.0002012885,0.0002144807,0.0008292304,0.9963006,0.000019431],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004358214,0.00002261924,0.00004135421,0.00003500514,0.0000113267,0.000005075739,0.998919,0.0003786431,0.0005434724],"genre_scores_gemma":[0.0001561229,0.00002693129,0.0001855897,0.00003894923,0.0000030508,0.00003979637,0.9990126,0.0001306978,0.0004062746],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8478329,"threshold_uncertainty_score":0.5090496,"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."}}