{"id":"W6943576920","doi":"10.15468/dl.n33kdz","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":"Geodetic datum; Coordinate system; Matching (statistics); Download; Range (aeronautics); Geographic coordinate conversion","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":[0.0009342218,0.001892729,0.001570661,0.004935739,0.001074637,0.003035857,0.002771515,0.001866202,0.1945806],"category_scores_gemma":[0.006251141,0.0009305988,0.001357231,0.009658359,0.0004151175,0.002640431,0.002829792,0.001951597,0.2831046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001456961,"about_ca_system_score_gemma":0.002342399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02063533,"about_ca_topic_score_gemma":0.03299788,"domain_scores_codex":[0.998916,0.0001332336,0.0001356603,0.0003905904,0.0002334545,0.0001910934],"domain_scores_gemma":[0.9975135,0.0006499284,0.0002027288,0.0006882685,0.000683854,0.0002616484],"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":[0.00002882309,0.00000943588,0.0004212303,0.0005155347,0.00001456432,0.00001650363,0.00002619316,0.0001192032,0.0001194642,0.0003908947,0.9964705,0.001867603],"study_design_scores_gemma":[0.00005003898,0.000006622033,0.001590249,0.0001587036,0.00001218338,0.000033655,0.00007658466,0.0001542653,0.0001684653,0.0007577345,0.9969757,0.00001594675],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004628425,0.00003035299,0.00006652174,0.00004341952,0.0000170841,0.000006105621,0.9982327,0.0006670963,0.0008904123],"genre_scores_gemma":[0.0001866878,0.0000406643,0.000260496,0.00005369373,0.000004918328,0.00004510909,0.9985049,0.0002537233,0.0006499083],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8054194,"threshold_uncertainty_score":0.6509368,"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."}}