{"id":"W6962172000","doi":"10.15468/dl.vdv1az","title":"Occurrence Download","year":2019,"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); UniProt; 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":[0.0009828026,0.002051381,0.001600628,0.004677496,0.001064245,0.002561826,0.003079346,0.002174729,0.1452585],"category_scores_gemma":[0.005831092,0.0009129808,0.001259906,0.008827912,0.0004561478,0.002324371,0.002678006,0.002118018,0.2139193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001645635,"about_ca_system_score_gemma":0.002375203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0229388,"about_ca_topic_score_gemma":0.03703027,"domain_scores_codex":[0.998985,0.0001406846,0.000124744,0.0003547163,0.0002248522,0.0001700055],"domain_scores_gemma":[0.9977575,0.0006345598,0.0001949693,0.0006277777,0.0005286947,0.000256555],"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":[0.00002984071,0.00001221942,0.0003595007,0.0004851071,0.00001454968,0.00001567001,0.00002429232,0.0001283317,0.0001113131,0.0003860742,0.9969937,0.001439517],"study_design_scores_gemma":[0.00007833599,0.000009318474,0.001837567,0.0001975925,0.00001521724,0.00004424688,0.00007611775,0.0001969318,0.0002110733,0.0008895376,0.9964251,0.00001882457],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005284711,0.00003299552,0.00005593213,0.0000429848,0.00001465975,0.000006122283,0.9985904,0.00053606,0.0006679832],"genre_scores_gemma":[0.0001617153,0.00003256174,0.0002005601,0.00004611022,0.000003245106,0.00004110267,0.9989175,0.0001623622,0.0004349622],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8547415,"threshold_uncertainty_score":0.4859381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}