{"id":"W6943159363","doi":"10.15468/dl.nc2jn5","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":[0.0009627733,0.001936662,0.001552247,0.004963463,0.0009522121,0.002600724,0.002726311,0.002032226,0.1682916],"category_scores_gemma":[0.006145121,0.0009027662,0.001229472,0.009357277,0.0004375602,0.002320478,0.002498519,0.001968224,0.2332672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001525812,"about_ca_system_score_gemma":0.002197597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02035433,"about_ca_topic_score_gemma":0.03230647,"domain_scores_codex":[0.9990344,0.000134872,0.0001192102,0.0003440135,0.000206789,0.0001608103],"domain_scores_gemma":[0.9975346,0.0007668692,0.0002195808,0.0006234698,0.0005768171,0.0002785374],"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":[0.0000267051,0.00001129673,0.0003890087,0.0005595054,0.00001450055,0.00001467468,0.0000233419,0.0001269647,0.0001084651,0.0003280587,0.9969699,0.001427741],"study_design_scores_gemma":[0.00007337342,0.000009566846,0.00203139,0.0002238765,0.0000161933,0.00003781171,0.00008212897,0.0001811412,0.0001919205,0.0007837571,0.9963505,0.00001837713],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004099286,0.00002680927,0.00004165905,0.00003747551,0.00001205075,0.000005461712,0.9988726,0.0003833986,0.0005794462],"genre_scores_gemma":[0.0001640701,0.00003527567,0.0001933686,0.00004884636,0.000003691727,0.00004641754,0.9988721,0.0001540794,0.0004821528],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8317084,"threshold_uncertainty_score":0.5629914,"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."}}