{"id":"W6887352047","doi":"10.15468/dl.zmwdtw","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); Data set; Set (abstract data type)","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":[0.0009191056,0.001777723,0.001458142,0.004889357,0.0009574869,0.00238931,0.002716912,0.001939819,0.1436435],"category_scores_gemma":[0.005394989,0.0008067368,0.00110152,0.009731495,0.0004350091,0.002318022,0.00242571,0.001885369,0.2086376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001601725,"about_ca_system_score_gemma":0.002246128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02312581,"about_ca_topic_score_gemma":0.03796704,"domain_scores_codex":[0.9990181,0.0001331073,0.0001323327,0.000343393,0.0002112679,0.0001618126],"domain_scores_gemma":[0.9978343,0.0005860596,0.0002159764,0.0005610101,0.0005594266,0.000243271],"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":[0.00002865942,0.00001127207,0.0004234182,0.0005067399,0.00001451291,0.00001489952,0.00002404789,0.0001324995,0.000109815,0.0004056585,0.9968182,0.001510443],"study_design_scores_gemma":[0.00006037725,0.000007454475,0.001848029,0.0001852381,0.00001321266,0.00003534759,0.000074983,0.0001541195,0.0001714719,0.0007392364,0.9966943,0.00001619555],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004289759,0.00002834779,0.00004167686,0.00003456626,0.00001208568,0.000004644083,0.9989327,0.0002990227,0.0006041303],"genre_scores_gemma":[0.0001639226,0.0000333577,0.0001706391,0.00003880007,0.000003404465,0.00003391922,0.999,0.0001066714,0.0004492782],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8563564,"threshold_uncertainty_score":0.4805355,"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."}}