{"id":"W6905800705","doi":"10.15468/dl.vgvwn4","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); Alien; 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":[0.00096489,0.001883688,0.00152766,0.004921263,0.001021444,0.002619883,0.002719525,0.002033391,0.16714],"category_scores_gemma":[0.006016328,0.0008799194,0.001230798,0.009217096,0.0004304777,0.002292446,0.002469301,0.001998235,0.2252504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001547288,"about_ca_system_score_gemma":0.002230832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02166805,"about_ca_topic_score_gemma":0.03430425,"domain_scores_codex":[0.9990463,0.0001328786,0.0001164652,0.0003392321,0.0002056936,0.0001594691],"domain_scores_gemma":[0.9976261,0.0007218984,0.0002058913,0.0005985607,0.000591206,0.0002564412],"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":[0.00002615551,0.00001158083,0.0004125366,0.0005481175,0.00001452512,0.00001538906,0.00002449016,0.0001283729,0.0001121644,0.0003678477,0.9968922,0.001446745],"study_design_scores_gemma":[0.00006927651,0.000008284668,0.001958495,0.0002143416,0.00001504122,0.00003671533,0.00008271528,0.0001639113,0.0001834076,0.0007822167,0.9964675,0.00001810955],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004259414,0.000028036,0.00004495973,0.00003871253,0.00001272393,0.000005778284,0.9988291,0.0003531044,0.0006449813],"genre_scores_gemma":[0.0001716853,0.00003621903,0.0002069274,0.00004972618,0.000003898423,0.00005080317,0.998811,0.0001489963,0.0005207667],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.83286,"threshold_uncertainty_score":0.5591391,"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."}}