{"id":"W6905851082","doi":"10.15468/dl.krbt4v","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; The Internet","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":[0.0009890378,0.001972222,0.001580953,0.004860269,0.001039914,0.002610506,0.002743162,0.002135136,0.1692714],"category_scores_gemma":[0.006127011,0.0009180567,0.001264407,0.009087218,0.0004522055,0.002445573,0.002621714,0.002051783,0.2275435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001601495,"about_ca_system_score_gemma":0.002337676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02308238,"about_ca_topic_score_gemma":0.03553798,"domain_scores_codex":[0.9989667,0.0001443539,0.0001270267,0.000365531,0.0002234752,0.0001728845],"domain_scores_gemma":[0.9973954,0.0007776494,0.0002239476,0.0006907519,0.0006268297,0.0002853099],"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":[0.00002660305,0.00001159091,0.0003746887,0.0005005595,0.00001345899,0.00001465014,0.00002298932,0.0001190654,0.00010614,0.0003468685,0.9971396,0.001323859],"study_design_scores_gemma":[0.00007308502,0.000009053028,0.001929394,0.0002074036,0.00001429146,0.00003716499,0.0000816399,0.0001635018,0.0001830974,0.0007575492,0.9965256,0.00001821785],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004174795,0.00002671884,0.00004343882,0.00004062931,0.00001340664,0.000005849322,0.998826,0.0003909875,0.0006112496],"genre_scores_gemma":[0.0001681986,0.00003509429,0.0001988676,0.00005332254,0.000004057952,0.00004659829,0.9988305,0.000157572,0.0005058144],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8307286,"threshold_uncertainty_score":0.5662692,"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."}}