{"id":"W6905589983","doi":"10.15468/dl.7nufef","title":"Occurrence Download","year":2024,"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); Order (exchange); 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":[0.001067981,0.001882119,0.001566412,0.00487316,0.0009156897,0.002447378,0.002849152,0.002014986,0.1653661],"category_scores_gemma":[0.006703689,0.0009427355,0.001191538,0.009682083,0.0004419918,0.002229329,0.002611816,0.001879628,0.222575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00155743,"about_ca_system_score_gemma":0.002320272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0218366,"about_ca_topic_score_gemma":0.03382815,"domain_scores_codex":[0.9989591,0.0001450496,0.0001419669,0.0003572202,0.0002302878,0.0001663567],"domain_scores_gemma":[0.9973429,0.0007450631,0.00024782,0.0007067681,0.0006657908,0.0002917609],"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":[0.00002781969,0.00001077317,0.0003917386,0.0005124841,0.00001634866,0.00001361804,0.00002226053,0.0001417366,0.0001064648,0.0003528712,0.9969544,0.001449577],"study_design_scores_gemma":[0.00007801317,0.000007994357,0.001915962,0.0001929672,0.00001571306,0.00003386626,0.00007203221,0.0001639911,0.000180183,0.0008214761,0.9965001,0.00001769523],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003614809,0.00002164778,0.00004326533,0.00003082103,0.00001090695,0.000004639574,0.9989921,0.0003281456,0.000532305],"genre_scores_gemma":[0.0001520217,0.00002934334,0.0001879365,0.00003720867,0.000003380164,0.00003860587,0.9989918,0.0001304316,0.0004292947],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8346339,"threshold_uncertainty_score":0.5532046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}