{"id":"W6887128782","doi":"10.15468/dl.qyuoad","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); The Internet; Order (exchange)","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":[0.0009391307,0.001881199,0.001640477,0.005437859,0.0009229018,0.002670593,0.002698072,0.001931652,0.1739876],"category_scores_gemma":[0.00577439,0.0009049385,0.001076727,0.01091567,0.0004253802,0.002357289,0.002592916,0.001973222,0.231239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001534651,"about_ca_system_score_gemma":0.002131231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01793424,"about_ca_topic_score_gemma":0.02934737,"domain_scores_codex":[0.9990282,0.0001235597,0.0001283444,0.0003372649,0.0002198993,0.0001627133],"domain_scores_gemma":[0.9976692,0.0006582229,0.0002362457,0.0006116288,0.0005546872,0.000270053],"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":[0.00002905089,0.00001013633,0.0003607641,0.0006057947,0.00001606909,0.00001499276,0.00002499238,0.0001277215,0.0001272337,0.0004623725,0.9966311,0.001589677],"study_design_scores_gemma":[0.00006108285,0.000006161569,0.001563527,0.000183777,0.00001314337,0.00003170442,0.00006257989,0.0001169053,0.0001667551,0.000759546,0.9970196,0.00001511284],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003423056,0.0000268297,0.0000416749,0.00002986976,0.00001045537,0.000004259959,0.9989115,0.0003131227,0.0006281435],"genre_scores_gemma":[0.0001546936,0.00003671585,0.0001900856,0.00003971891,0.000003368022,0.00003667371,0.9989173,0.0001524069,0.0004689825],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8260124,"threshold_uncertainty_score":0.5820466,"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."}}