{"id":"W6962629487","doi":"10.15468/dl.t5v9jn","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":[0.0009899008,0.00188057,0.00155438,0.004792235,0.0009952688,0.002664156,0.002693827,0.002125927,0.1856726],"category_scores_gemma":[0.007008699,0.0009140173,0.001248315,0.00883943,0.0004428255,0.002558098,0.002646125,0.001993797,0.2458141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001568726,"about_ca_system_score_gemma":0.002331847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02167965,"about_ca_topic_score_gemma":0.03435126,"domain_scores_codex":[0.9989625,0.0001468311,0.0001268806,0.0003767866,0.0002191671,0.0001679354],"domain_scores_gemma":[0.99718,0.0008568999,0.000235011,0.0007316946,0.0006934016,0.0003030175],"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":[0.00002618662,0.0000103262,0.0003572702,0.0004933941,0.00001216824,0.00001310546,0.00002120075,0.0001083499,0.00008787694,0.0003141899,0.9972256,0.001330361],"study_design_scores_gemma":[0.00007395183,0.000009187462,0.001809465,0.0002198654,0.00001406554,0.00003342823,0.0000801709,0.0001782254,0.0001644108,0.0008638427,0.9965354,0.00001791924],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003829465,0.0000250483,0.00004260944,0.0000448692,0.00001340642,0.000006104898,0.9987658,0.0004276718,0.0006361025],"genre_scores_gemma":[0.0001760247,0.00003671609,0.0002196294,0.00006030509,0.000004381299,0.00005211584,0.9987115,0.0001872157,0.0005521773],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8143274,"threshold_uncertainty_score":0.6211367,"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."}}