{"id":"W6887264179","doi":"10.15468/dl.v36bm9","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 set","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":[0.00114709,0.00190327,0.001693622,0.005326748,0.001052703,0.002916278,0.003012472,0.001957093,0.187608],"category_scores_gemma":[0.00697862,0.0009904592,0.001184268,0.01091092,0.0004607583,0.002482173,0.002781758,0.002040078,0.2488507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001548258,"about_ca_system_score_gemma":0.002433863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02078403,"about_ca_topic_score_gemma":0.03315406,"domain_scores_codex":[0.9988438,0.000153953,0.0001544792,0.0004023472,0.0002581082,0.000187291],"domain_scores_gemma":[0.9971797,0.0008030537,0.000259079,0.0007511129,0.0006976512,0.000309466],"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":[0.00002682614,0.000009365373,0.0003296896,0.0005247244,0.00001414799,0.00001374911,0.00002385678,0.0001018968,0.0001034413,0.0003933707,0.9971125,0.001346321],"study_design_scores_gemma":[0.00005895958,0.000006150992,0.001486276,0.0001820668,0.0000130264,0.00003162881,0.0000682153,0.000109293,0.0001634475,0.0007497002,0.997115,0.00001610837],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000321983,0.0000230292,0.00004719606,0.00003266414,0.00001114404,0.000004843821,0.998814,0.0003716181,0.0006635025],"genre_scores_gemma":[0.0001477477,0.00003365419,0.00019835,0.00004275067,0.000003432295,0.00004259716,0.9988503,0.0001901835,0.0004908471],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8123921,"threshold_uncertainty_score":0.6276112,"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."}}