{"id":"W6887225169","doi":"10.15468/dl.xkhe3c","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); Set (abstract data type); Data set","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":[0.00106355,0.001894609,0.001675631,0.00531734,0.0009470338,0.002542813,0.002753558,0.002036176,0.1625493],"category_scores_gemma":[0.006577634,0.0009156998,0.001185154,0.01058056,0.0004359673,0.002232459,0.002487803,0.001928534,0.2152833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001514896,"about_ca_system_score_gemma":0.002277368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01944356,"about_ca_topic_score_gemma":0.03160146,"domain_scores_codex":[0.9988765,0.0001558834,0.0001569768,0.0003825932,0.0002461677,0.0001818949],"domain_scores_gemma":[0.9972469,0.0008032575,0.0002654434,0.000691812,0.0006843552,0.0003082815],"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":[0.00003299967,0.00001178047,0.0004158566,0.0006379803,0.00001700084,0.00001594938,0.00002319035,0.000137639,0.0001238384,0.0003802923,0.9967328,0.001470726],"study_design_scores_gemma":[0.00008275819,0.000009191489,0.002103296,0.0002224105,0.0000161174,0.00003760723,0.00007099527,0.0001491147,0.000184085,0.0007762534,0.9963296,0.00001852497],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003755433,0.00002555717,0.00003706771,0.00003066039,0.000009940521,0.000004938657,0.9990603,0.0002827992,0.0005111401],"genre_scores_gemma":[0.0001569145,0.000033362,0.0001723539,0.00004187646,0.000003471775,0.00004263026,0.999024,0.0001211076,0.0004041833],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8374507,"threshold_uncertainty_score":0.5437816,"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."}}