{"id":"W6943196811","doi":"10.15468/dl.nwg7y8","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); Alien; Metadata","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":[0.0009709525,0.00179055,0.001505691,0.005241245,0.001007984,0.002691982,0.002636176,0.001934268,0.1825644],"category_scores_gemma":[0.00637993,0.0008688627,0.001197477,0.01009348,0.0004377459,0.00229218,0.002532429,0.001933038,0.2532484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001556339,"about_ca_system_score_gemma":0.002325495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02360193,"about_ca_topic_score_gemma":0.03711405,"domain_scores_codex":[0.9990086,0.0001370411,0.0001202567,0.0003381565,0.0002272162,0.0001686796],"domain_scores_gemma":[0.9974369,0.0007653205,0.0002180383,0.0006444755,0.0006589998,0.0002762755],"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":[0.00002320053,0.000009697919,0.000351714,0.0004712032,0.00001163411,0.00001396578,0.0000230966,0.0001003895,0.00009496437,0.0003447069,0.9971117,0.001443699],"study_design_scores_gemma":[0.0000557409,0.000007197366,0.001808224,0.0002032644,0.00001249678,0.00003340395,0.00008217365,0.0001279989,0.0001625362,0.0007113765,0.9967795,0.00001612008],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004006549,0.00002677671,0.00004458075,0.00003943752,0.00001242141,0.000005708893,0.9987078,0.0003787971,0.000744415],"genre_scores_gemma":[0.0001705787,0.00003726145,0.0002064776,0.00004831965,0.000004065178,0.00004901888,0.9987062,0.0001756927,0.0006024453],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8174356,"threshold_uncertainty_score":0.6107388,"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."}}