{"id":"W6905862748","doi":"10.15468/dl.u2q4xt","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; Species name","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":[0.001020702,0.001976759,0.00159234,0.004962184,0.001039318,0.002570609,0.002839126,0.0021124,0.1587067],"category_scores_gemma":[0.005957374,0.0009195038,0.001303159,0.009504733,0.0004564692,0.002366531,0.002655018,0.00208522,0.2292054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00163897,"about_ca_system_score_gemma":0.002421031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02248483,"about_ca_topic_score_gemma":0.03667116,"domain_scores_codex":[0.9989135,0.0001476664,0.0001348102,0.0003826891,0.0002382201,0.00018306],"domain_scores_gemma":[0.9973781,0.0007321576,0.0002304473,0.0007156352,0.0006425894,0.0003010603],"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":[0.00002797507,0.00001178931,0.0003609106,0.0004917201,0.00001355196,0.00001386151,0.00002312977,0.0001134306,0.0001103705,0.0003515967,0.9971384,0.001343262],"study_design_scores_gemma":[0.00007188477,0.000009118812,0.001957847,0.0001991921,0.00001423729,0.00003635949,0.0000783432,0.000144932,0.0001831744,0.0007435262,0.9965435,0.00001786789],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004371706,0.00002632636,0.00004175563,0.00003862538,0.00001328093,0.00000569921,0.9988402,0.000369494,0.0006210171],"genre_scores_gemma":[0.0001486861,0.00003243007,0.000185058,0.00004587728,0.000003492375,0.00004279827,0.998915,0.0001411159,0.0004856455],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8412933,"threshold_uncertainty_score":0.5309268,"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."}}