{"id":"W6943628067","doi":"10.15468/dl.xsanxj","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":[0.001013026,0.00187999,0.001546699,0.004723731,0.001014303,0.002540404,0.002699339,0.002066669,0.1550536],"category_scores_gemma":[0.006130321,0.0009091725,0.001250852,0.009101012,0.0004507405,0.00236452,0.002570032,0.001985912,0.2136321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001514131,"about_ca_system_score_gemma":0.002274569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02077504,"about_ca_topic_score_gemma":0.03333072,"domain_scores_codex":[0.9989673,0.0001455028,0.000130651,0.0003644181,0.0002239206,0.000168243],"domain_scores_gemma":[0.9973585,0.0007859133,0.0002352547,0.0007161488,0.0006070752,0.0002970262],"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":[0.00002768876,0.00001191771,0.0003956348,0.0005124992,0.00001394237,0.00001502294,0.00002372598,0.0001264161,0.0001127507,0.0003518089,0.9970073,0.001401275],"study_design_scores_gemma":[0.00007585934,0.000009771378,0.00211261,0.0002025645,0.00001459494,0.00004046564,0.00008395494,0.0001726897,0.0001972703,0.0007623625,0.9963092,0.00001846551],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000490007,0.0000281659,0.00004786139,0.00004253939,0.00001462457,0.000006025358,0.9987644,0.000425723,0.000621636],"genre_scores_gemma":[0.0001746621,0.00003541451,0.0002067181,0.00005070201,0.000004072477,0.00004561204,0.9988463,0.0001522694,0.0004842308],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8449464,"threshold_uncertainty_score":0.5187061,"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."}}