{"id":"W6962406134","doi":"10.15468/dl.wp8j5c","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); Real world data","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":[0.0009460322,0.001966449,0.001635924,0.00580257,0.0009639605,0.002680554,0.002833775,0.001924399,0.1634368],"category_scores_gemma":[0.005694097,0.0008975262,0.00118467,0.01105112,0.0004412832,0.002271302,0.002761723,0.001885489,0.2283495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001646949,"about_ca_system_score_gemma":0.002442361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02442553,"about_ca_topic_score_gemma":0.04080299,"domain_scores_codex":[0.9989508,0.000135074,0.0001477959,0.0003577076,0.0002240457,0.000184541],"domain_scores_gemma":[0.9975266,0.000628094,0.0002511771,0.0006620709,0.0006369874,0.0002950698],"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":[0.00003367724,0.00001063521,0.0003847557,0.0006267238,0.00001700717,0.00001626028,0.00002607225,0.0001158188,0.0001275508,0.0004266978,0.996696,0.001518957],"study_design_scores_gemma":[0.00006679416,0.000007223917,0.001780619,0.000194108,0.0000145239,0.00003510435,0.00006661527,0.0001143325,0.0001772879,0.000757212,0.9967691,0.00001721345],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003680083,0.00002567331,0.00003614852,0.00002880874,0.00001006988,0.000004552718,0.9989367,0.0003282407,0.0005929656],"genre_scores_gemma":[0.000147497,0.00003455826,0.0001687131,0.00004024748,0.000003184374,0.00003489477,0.9990072,0.000137365,0.0004263533],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8365632,"threshold_uncertainty_score":0.5467507,"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."}}