{"id":"W6924605508","doi":"10.15468/dl.p5h26g","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); Alien; Range (aeronautics)","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":[0.001006797,0.002019967,0.001608443,0.004819097,0.001005984,0.002605085,0.002771519,0.00215946,0.1618169],"category_scores_gemma":[0.006386572,0.0008944495,0.00128128,0.009053369,0.0004362616,0.002417132,0.00251217,0.002009246,0.2242087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001582482,"about_ca_system_score_gemma":0.002311801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02136034,"about_ca_topic_score_gemma":0.0334406,"domain_scores_codex":[0.9989672,0.0001469337,0.0001283989,0.0003658879,0.0002216294,0.0001700143],"domain_scores_gemma":[0.9974012,0.0007939884,0.0002232793,0.0006678663,0.0006336581,0.0002799992],"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":[0.00002822714,0.00001152533,0.0003746893,0.0005364182,0.00001422315,0.0000147049,0.00002121944,0.0001241877,0.0001081616,0.0003393106,0.997047,0.00138039],"study_design_scores_gemma":[0.00007807634,0.000009551077,0.001887531,0.0002195482,0.00001536566,0.00003679757,0.00007656124,0.0001837884,0.0001980044,0.0008062138,0.9964703,0.00001819179],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004313578,0.00002946448,0.00004460066,0.00004113247,0.00001310453,0.000006033942,0.998786,0.0004207765,0.0006156725],"genre_scores_gemma":[0.0001686913,0.00003637349,0.0001991873,0.00005272217,0.000004097973,0.000047792,0.9988562,0.0001540195,0.0004808906],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8381831,"threshold_uncertainty_score":0.5413315,"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."}}