{"id":"W6943614721","doi":"10.15468/dl.tmt58p","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":[0.0009846864,0.001916207,0.001557372,0.005160867,0.001009823,0.002606892,0.002689992,0.002129112,0.1645107],"category_scores_gemma":[0.0058566,0.0008724532,0.001268885,0.009740693,0.0004541529,0.002301345,0.00262519,0.001977533,0.233363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001608042,"about_ca_system_score_gemma":0.002452249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02345435,"about_ca_topic_score_gemma":0.03716184,"domain_scores_codex":[0.9989868,0.0001354013,0.0001261679,0.0003511319,0.0002254186,0.0001751314],"domain_scores_gemma":[0.9974678,0.0007444003,0.0002213949,0.0006479152,0.0006385542,0.0002799455],"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":[0.00002790105,0.00001225347,0.0004018594,0.0005767351,0.00001405472,0.00001645915,0.00002415786,0.000114254,0.000124706,0.000352379,0.996849,0.001486316],"study_design_scores_gemma":[0.00006855107,0.000009313485,0.002105612,0.0002220474,0.00001524571,0.00003800451,0.00008248423,0.0001440723,0.0001953375,0.0007234535,0.996378,0.0000179649],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004340008,0.00002771744,0.00003889086,0.00003874463,0.00001296862,0.000005754257,0.9988224,0.0003612614,0.000648737],"genre_scores_gemma":[0.0001570831,0.00003506835,0.00017806,0.00004737564,0.000003783036,0.0000423104,0.9989142,0.0001353762,0.0004866452],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8354893,"threshold_uncertainty_score":0.5503431,"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."}}