{"id":"W6943579026","doi":"10.15468/dl.u5pk2a","title":"Occurrence Download","year":2022,"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":[0.001008281,0.002038168,0.001610355,0.005002206,0.001018756,0.00263441,0.002704298,0.002136103,0.1630948],"category_scores_gemma":[0.006270193,0.00089527,0.001288189,0.009395998,0.0004470294,0.002334459,0.002550661,0.001942519,0.2243407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001564702,"about_ca_system_score_gemma":0.002337071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02168128,"about_ca_topic_score_gemma":0.0337757,"domain_scores_codex":[0.9989499,0.0001479075,0.0001348493,0.000370013,0.00022579,0.0001715642],"domain_scores_gemma":[0.9973338,0.0008137993,0.0002304175,0.0006832703,0.0006558616,0.0002829477],"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":[0.00003005382,0.00001246657,0.0004136481,0.000582765,0.00001489795,0.0000165213,0.00002379238,0.0001291686,0.0001137281,0.0003437716,0.9968708,0.001448382],"study_design_scores_gemma":[0.00007876909,0.0000099495,0.002026368,0.0002230356,0.00001585235,0.00004024601,0.00008324881,0.0001740112,0.0001979877,0.0007699329,0.9963618,0.00001877493],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004445179,0.00002865131,0.00004253996,0.00003929185,0.00001319897,0.000005877026,0.9988226,0.0003955788,0.0006078028],"genre_scores_gemma":[0.0001693593,0.0000364768,0.0001993798,0.00004831967,0.000003981795,0.00004607508,0.9988819,0.0001484305,0.0004660942],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8369052,"threshold_uncertainty_score":0.5456065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}