{"id":"W6943449448","doi":"10.15468/dl.tmse8m","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; 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":[0.001018439,0.002008003,0.00162316,0.005242526,0.001105058,0.002622911,0.002794361,0.002231135,0.1405439],"category_scores_gemma":[0.006189516,0.0008968039,0.001353725,0.01016549,0.0004781058,0.002368773,0.002591891,0.002043136,0.2072451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001642903,"about_ca_system_score_gemma":0.00243146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02354681,"about_ca_topic_score_gemma":0.03790358,"domain_scores_codex":[0.998841,0.0001629923,0.0001502724,0.0004036638,0.000255215,0.0001869761],"domain_scores_gemma":[0.9972428,0.0008185706,0.0002427304,0.0007347062,0.0006645618,0.0002965938],"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":[0.00003201122,0.00001400562,0.0004449209,0.0006134257,0.00001629368,0.00001770507,0.00002681114,0.0001313025,0.0001348801,0.0003700996,0.9966794,0.001519012],"study_design_scores_gemma":[0.00007344728,0.00001036294,0.002219024,0.0002203264,0.00001616404,0.00004323251,0.00009215216,0.0001616197,0.0002034014,0.0007229124,0.9962184,0.0000190644],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005276816,0.00003322256,0.00004356848,0.00004219223,0.00001438329,0.000006057719,0.9987965,0.000392426,0.0006189106],"genre_scores_gemma":[0.0001677368,0.00003709772,0.0001948278,0.00004777308,0.000003736695,0.00004242705,0.9989247,0.0001272629,0.0004544508],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8594561,"threshold_uncertainty_score":0.4701661,"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."}}