{"id":"W6943629842","doi":"10.15468/dl.w5uhb9","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); Data modeling","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":[0.001114044,0.002011624,0.001670588,0.005293502,0.001059703,0.002775705,0.003002109,0.002152976,0.1631893],"category_scores_gemma":[0.006569905,0.000974003,0.001190612,0.01010459,0.0004786393,0.002456025,0.002670868,0.002094831,0.2294941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001680991,"about_ca_system_score_gemma":0.002542814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02275651,"about_ca_topic_score_gemma":0.03681571,"domain_scores_codex":[0.998835,0.0001566901,0.0001556224,0.0004013226,0.0002624617,0.0001889247],"domain_scores_gemma":[0.9973285,0.0007689687,0.0002472888,0.0006797793,0.0006710772,0.0003044493],"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":[0.00002702634,0.00001058529,0.0003438725,0.0005206447,0.00001458618,0.00001440078,0.00002294796,0.0001149435,0.0001127845,0.0003818667,0.9971348,0.001301507],"study_design_scores_gemma":[0.00006865733,0.000007316984,0.001659359,0.0001957403,0.00001405691,0.00003609953,0.00007286404,0.000138642,0.0001779956,0.000737221,0.9968743,0.00001772002],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003390556,0.00002447206,0.0000421337,0.00003402431,0.00001119734,0.000004732598,0.9989368,0.0003371149,0.0005755291],"genre_scores_gemma":[0.0001364846,0.00003140314,0.0001784739,0.00004107601,0.000003165754,0.00003789058,0.9990193,0.0001382274,0.0004140225],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8368107,"threshold_uncertainty_score":0.5459226,"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."}}