{"id":"W6887050938","doi":"10.15468/dl.kahhz9","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); Identification (biology); State (computer science)","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":[0.001202659,0.002032105,0.001725648,0.005398823,0.001100346,0.002969304,0.003085286,0.002149861,0.188757],"category_scores_gemma":[0.00699603,0.001054899,0.001201744,0.01070109,0.0004842932,0.002573933,0.002821209,0.002172319,0.2565702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001690742,"about_ca_system_score_gemma":0.002546655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02141764,"about_ca_topic_score_gemma":0.03512736,"domain_scores_codex":[0.9987805,0.0001630848,0.0001609144,0.0004276944,0.0002713817,0.0001965053],"domain_scores_gemma":[0.9970967,0.0008441219,0.0002698505,0.0007620451,0.0006961336,0.0003311448],"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":[0.00002629028,0.000009670887,0.0003222144,0.000504123,0.00001405172,0.00001307003,0.00002330401,0.0001070462,0.000102148,0.0003853041,0.9972365,0.001256282],"study_design_scores_gemma":[0.0000657029,0.000006871897,0.00155981,0.0001940178,0.00001394315,0.00003309934,0.00006954483,0.0001288076,0.0001691874,0.0007830654,0.9969585,0.00001736427],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003070713,0.00002279187,0.00004505119,0.00003225512,0.00001123979,0.000004574425,0.9988804,0.0003565923,0.0006163697],"genre_scores_gemma":[0.0001315411,0.00003164936,0.0001943412,0.00004361002,0.000003232689,0.00003924095,0.9989139,0.0001740974,0.0004684074],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8112431,"threshold_uncertainty_score":0.6314549,"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."}}