{"id":"W6887193471","doi":"10.15468/dl.r63qej","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); 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":[0.001104067,0.002105301,0.001732928,0.005131221,0.001064016,0.002677777,0.002969116,0.002186473,0.1712417],"category_scores_gemma":[0.006096796,0.0009670196,0.001198021,0.00992392,0.0004677962,0.002400168,0.002583669,0.002086737,0.2328105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001724993,"about_ca_system_score_gemma":0.002375407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02145843,"about_ca_topic_score_gemma":0.03482254,"domain_scores_codex":[0.9989349,0.0001479315,0.0001321724,0.0003741089,0.0002303745,0.000180465],"domain_scores_gemma":[0.9975205,0.0007240862,0.0002355778,0.000628035,0.0006016219,0.0002902251],"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":[0.00002969527,0.00001146322,0.0003376773,0.000581385,0.0000155549,0.0000146481,0.00002249108,0.0001247572,0.0001211683,0.000374126,0.9970526,0.001314569],"study_design_scores_gemma":[0.00007726446,0.000008390916,0.001754556,0.0001976173,0.00001510835,0.00003589038,0.00006656726,0.0001427778,0.0001850986,0.000771109,0.9967271,0.00001854021],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003604239,0.00002793557,0.00004214409,0.00003421067,0.00001183045,0.000005064765,0.9988746,0.0003480235,0.0006201507],"genre_scores_gemma":[0.0001452511,0.00003297525,0.0001814471,0.0000438463,0.000003395935,0.00004167445,0.9989654,0.0001454943,0.0004404362],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8287583,"threshold_uncertainty_score":0.5728606,"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."}}