{"id":"W6961939709","doi":"10.15468/dl.q4vnb6","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)","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":[0.0009914573,0.00209432,0.001727365,0.005395114,0.001030343,0.002699651,0.002888751,0.002111647,0.1744815],"category_scores_gemma":[0.006033204,0.0009410008,0.001170794,0.01051322,0.0004497272,0.002396245,0.002711026,0.002047409,0.2340475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001589521,"about_ca_system_score_gemma":0.002396734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02144153,"about_ca_topic_score_gemma":0.03589707,"domain_scores_codex":[0.9989568,0.0001354835,0.0001321725,0.0003611204,0.0002352072,0.0001792496],"domain_scores_gemma":[0.9975745,0.000688132,0.0002332784,0.0006014758,0.0006021608,0.0003003117],"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":[0.00002915507,0.00001095024,0.0003483274,0.0005708869,0.00001499936,0.00001576256,0.00002429761,0.000112623,0.0001224751,0.0003775002,0.9970756,0.001297404],"study_design_scores_gemma":[0.00007144549,0.000007640806,0.001755563,0.0001968976,0.00001432662,0.00003750557,0.00006893871,0.0001274643,0.0001816148,0.0007297642,0.9967912,0.00001764021],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003731945,0.00002636488,0.00004170239,0.00003120665,0.00001065219,0.000004838211,0.9988633,0.0003546641,0.0006299057],"genre_scores_gemma":[0.0001475152,0.00003272757,0.0001806355,0.0000424551,0.000003229208,0.00003993045,0.9989505,0.0001529831,0.0004499967],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8255185,"threshold_uncertainty_score":0.5836986,"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."}}