{"id":"W6943172732","doi":"10.15468/dl.t2nmn3","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); Identification (biology); Confidentiality","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":[0.001172828,0.001988644,0.001723311,0.005416329,0.001102646,0.002946848,0.00308104,0.002089759,0.179212],"category_scores_gemma":[0.006929875,0.001024852,0.001209949,0.01104333,0.0004768574,0.002512721,0.002818449,0.002137145,0.2445819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001617547,"about_ca_system_score_gemma":0.002528143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02091565,"about_ca_topic_score_gemma":0.03499353,"domain_scores_codex":[0.9987835,0.0001645902,0.0001591601,0.0004266337,0.0002703761,0.0001956954],"domain_scores_gemma":[0.9971577,0.0008262363,0.0002586015,0.0007482562,0.0006999055,0.0003093905],"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":[0.00002730761,0.00001006022,0.0003355477,0.000541962,0.00001464918,0.0000142226,0.00002456086,0.0001053339,0.0001113611,0.0004031168,0.9970828,0.001328993],"study_design_scores_gemma":[0.00005982075,0.000006462064,0.001508997,0.0001874664,0.00001360687,0.00003309904,0.0000695844,0.0001174968,0.0001732598,0.0007848141,0.9970284,0.00001700878],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003383076,0.00002409209,0.00004850232,0.00003226535,0.00001129243,0.000004859859,0.9988372,0.0003660229,0.0006420898],"genre_scores_gemma":[0.000143041,0.00003289745,0.000200317,0.00004322057,0.000003269223,0.00004232326,0.9988815,0.0001778842,0.0004754547],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.820788,"threshold_uncertainty_score":0.5995238,"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."}}