{"id":"W6943491394","doi":"10.15468/dl.q4z2w5","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); Order (exchange)","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":[0.0009259154,0.001872211,0.001434488,0.004552361,0.0009574115,0.002377367,0.002765699,0.001958743,0.1530693],"category_scores_gemma":[0.005654048,0.0008720613,0.001172362,0.009363477,0.0004192846,0.002260297,0.002466688,0.001970662,0.2265682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001644144,"about_ca_system_score_gemma":0.002322619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02679289,"about_ca_topic_score_gemma":0.04555493,"domain_scores_codex":[0.9990172,0.0001282575,0.0001185651,0.0003432217,0.0002297425,0.0001629531],"domain_scores_gemma":[0.9976467,0.0006263959,0.0002100266,0.0006246972,0.000625423,0.0002666169],"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":[0.00002328724,0.000009727167,0.0003422368,0.0004024018,0.00001217883,0.00001240425,0.00002129936,0.0001129163,0.00009694796,0.0003469748,0.9973491,0.001270343],"study_design_scores_gemma":[0.00005919717,0.000007443852,0.001865215,0.0001606544,0.00001268544,0.00003163478,0.00007144248,0.0001531825,0.0001836919,0.0007595046,0.9966787,0.00001668593],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003937989,0.0000231772,0.00004535456,0.00003431321,0.00001111492,0.000004868385,0.9987988,0.0003825469,0.0006603369],"genre_scores_gemma":[0.000155708,0.00002873477,0.000197409,0.00004103566,0.000003139951,0.00003759996,0.9988748,0.0001507484,0.0005106732],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8469307,"threshold_uncertainty_score":0.5120679,"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."}}