{"id":"W6887063383","doi":"10.15468/dl.mrr35m","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":[0.0009505108,0.001949733,0.001649779,0.00539501,0.001012783,0.002688745,0.00268645,0.00208396,0.1646842],"category_scores_gemma":[0.005993502,0.0008776627,0.00128228,0.01027779,0.0004484908,0.002332427,0.002626115,0.001943327,0.2408108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001588084,"about_ca_system_score_gemma":0.002404012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02311985,"about_ca_topic_score_gemma":0.03561457,"domain_scores_codex":[0.9989426,0.000142829,0.0001334868,0.000371905,0.0002281396,0.0001810544],"domain_scores_gemma":[0.9974806,0.0007300308,0.0002263912,0.0006496079,0.0006341136,0.000279295],"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":[0.00002902497,0.00001116392,0.0003924297,0.0005926529,0.00001422525,0.00001553857,0.00002384721,0.0001154169,0.0001119449,0.0003365806,0.9968743,0.001482862],"study_design_scores_gemma":[0.00006888446,0.000009055447,0.002000808,0.0002239838,0.0000148961,0.00003751081,0.00008184204,0.000145162,0.0001724311,0.0006919134,0.996536,0.00001748832],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004254821,0.00002999115,0.00003748747,0.00003710257,0.00001214416,0.000005274352,0.9988695,0.0003625331,0.0006034383],"genre_scores_gemma":[0.0001589925,0.00003851924,0.0001751079,0.00004589357,0.000003762894,0.00004195,0.998919,0.0001398954,0.0004768491],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8353158,"threshold_uncertainty_score":0.5509236,"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."}}