{"id":"W6906134461","doi":"10.15468/dl.wc3cet","title":"Occurrence Download","year":2023,"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":[0.0009657283,0.001951378,0.001544299,0.004493181,0.0009736403,0.002447523,0.00282761,0.002050731,0.1459863],"category_scores_gemma":[0.005805124,0.0008910664,0.001201869,0.009056531,0.0004481805,0.002216281,0.002494165,0.002019266,0.2041037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001571318,"about_ca_system_score_gemma":0.002220922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02215109,"about_ca_topic_score_gemma":0.03611358,"domain_scores_codex":[0.9990023,0.0001342231,0.0001244011,0.0003512991,0.0002206589,0.0001671398],"domain_scores_gemma":[0.9976972,0.0006437701,0.0002152357,0.0006244044,0.0005492847,0.0002701253],"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":[0.00002997333,0.00001140106,0.0003852275,0.0004835834,0.0000146707,0.0000143493,0.00002392551,0.000130779,0.0001189723,0.0003772802,0.99708,0.001329781],"study_design_scores_gemma":[0.000078946,0.000008681853,0.001977899,0.0001867787,0.00001501899,0.00003909374,0.00007579112,0.0001789295,0.0002054577,0.000799941,0.9964153,0.00001815036],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000044698,0.00002562388,0.00004616325,0.00003590613,0.00001231404,0.000005095953,0.9988253,0.000407231,0.000597586],"genre_scores_gemma":[0.0001609798,0.00002910563,0.0001916512,0.00004275847,0.000003169548,0.00003812688,0.9989793,0.0001491006,0.000405773],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8540137,"threshold_uncertainty_score":0.4883727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}