{"id":"W6905931573","doi":"10.15468/dl.tdzpfq","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","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":[0.0009420158,0.002018142,0.00156707,0.004643785,0.001072089,0.002632147,0.002787004,0.002306008,0.15951],"category_scores_gemma":[0.006084981,0.0008864386,0.001308907,0.008516571,0.0004513734,0.00255371,0.002567498,0.002078173,0.228223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001593389,"about_ca_system_score_gemma":0.002280227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02208558,"about_ca_topic_score_gemma":0.03647126,"domain_scores_codex":[0.9989741,0.0001472477,0.0001205296,0.0003709043,0.0002210927,0.0001661352],"domain_scores_gemma":[0.9975216,0.0007385239,0.0001997661,0.0006566097,0.0006179776,0.0002655031],"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":[0.00002706983,0.00001213813,0.000367032,0.0004867769,0.0000127387,0.00001507061,0.00002185391,0.0001197779,0.0001036393,0.0003371503,0.9971546,0.0013421],"study_design_scores_gemma":[0.00007176709,0.000009422254,0.001819525,0.0002009323,0.0000140148,0.00003804055,0.00008280974,0.0001940926,0.000183613,0.000853847,0.9965129,0.00001899681],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004847653,0.00003160565,0.00004952707,0.00004822674,0.00001544013,0.000006538835,0.9986252,0.0004688205,0.000706171],"genre_scores_gemma":[0.00018293,0.00003542206,0.0002262445,0.00005728284,0.000004408361,0.00004907643,0.9987601,0.0001622208,0.0005224204],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.84049,"threshold_uncertainty_score":0.5336142,"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."}}