{"id":"W6962456255","doi":"10.15468/dl.rkekce","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); Natural history; Field (mathematics); Mammal","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":[0.001030559,0.002193497,0.001889361,0.007181545,0.001235809,0.003488942,0.002975157,0.002070644,0.2158768],"category_scores_gemma":[0.007615438,0.001027354,0.001558779,0.0124677,0.0004513018,0.00321306,0.003359547,0.001997341,0.3084308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001624319,"about_ca_system_score_gemma":0.002445767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02070614,"about_ca_topic_score_gemma":0.03295083,"domain_scores_codex":[0.9986721,0.0001535867,0.000184923,0.0004768061,0.0003016582,0.000210916],"domain_scores_gemma":[0.9968446,0.0008727401,0.0002675838,0.0008585976,0.0008270541,0.0003293729],"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":[0.00003515973,0.00001008281,0.000436504,0.0006779294,0.00001824298,0.00002062464,0.00002793134,0.0001017993,0.0001253722,0.0003860703,0.9960467,0.002113594],"study_design_scores_gemma":[0.00004900157,0.000008252495,0.001582333,0.0001990124,0.00001531033,0.00004440818,0.00007823487,0.0001398686,0.0001705964,0.0007143986,0.9969817,0.00001685367],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004515714,0.00003745223,0.00006705487,0.00004007647,0.00001824334,0.00000677371,0.9981834,0.000764048,0.0008377907],"genre_scores_gemma":[0.0001538956,0.00004685339,0.0002629542,0.00005231042,0.000005050109,0.00004442662,0.9985721,0.0002755957,0.0005868832],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7841232,"threshold_uncertainty_score":0.7221799,"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."}}