{"id":"W6943565397","doi":"10.15468/dl.yj3m8q","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); State (computer science)","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":[0.001046478,0.001984652,0.001574746,0.005112439,0.001017609,0.002536364,0.002870266,0.002109433,0.1510742],"category_scores_gemma":[0.005896299,0.0008909242,0.001139534,0.009570707,0.0004745913,0.002385128,0.002577824,0.002090261,0.210772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001563632,"about_ca_system_score_gemma":0.002287542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02027511,"about_ca_topic_score_gemma":0.03418971,"domain_scores_codex":[0.998931,0.0001531949,0.0001339732,0.0003765402,0.0002289259,0.0001764019],"domain_scores_gemma":[0.9974651,0.0007228734,0.0002446206,0.0006843063,0.0005870928,0.0002960604],"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":[0.00002936131,0.00001249236,0.000391151,0.0005153301,0.00001453476,0.00001483224,0.00002486153,0.0001316308,0.0001124463,0.0003974514,0.9969664,0.001389564],"study_design_scores_gemma":[0.00007330511,0.000008450085,0.001839001,0.0001846752,0.00001372483,0.00003840461,0.00007880061,0.000157675,0.000176613,0.0008152049,0.996596,0.00001818723],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004647709,0.00002795598,0.00004867052,0.00003788104,0.0000133203,0.000005385191,0.998803,0.0003794902,0.0006378001],"genre_scores_gemma":[0.0001631352,0.0000312984,0.0001996625,0.00004354587,0.000003576526,0.00004110583,0.9989305,0.0001407124,0.000446466],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8489258,"threshold_uncertainty_score":0.5053936,"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."}}