{"id":"W6905769037","doi":"10.15468/dl.stb86k","title":"Occurrence Download","year":2022,"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); Identification (biology); 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":[0.00110249,0.001991475,0.00167712,0.005394485,0.001035761,0.002835692,0.002922041,0.002025324,0.1766381],"category_scores_gemma":[0.006594265,0.000995074,0.001169697,0.01058312,0.0004608848,0.002477413,0.002673588,0.002045021,0.2405791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001609215,"about_ca_system_score_gemma":0.002432712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02191226,"about_ca_topic_score_gemma":0.0354985,"domain_scores_codex":[0.9988588,0.0001507965,0.0001507702,0.0003999349,0.0002566748,0.0001829447],"domain_scores_gemma":[0.9973421,0.0007610777,0.0002516005,0.0006923571,0.0006475049,0.0003054746],"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":[0.00002654672,0.000009545196,0.00032791,0.0005110518,0.00001413723,0.00001415136,0.00002307814,0.0001077975,0.0001033036,0.0003654399,0.9971921,0.001305057],"study_design_scores_gemma":[0.00006304574,0.000006582774,0.0016104,0.0001852054,0.00001356786,0.0000338896,0.00006895771,0.0001264036,0.0001649756,0.0007316995,0.9969785,0.00001676776],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003244141,0.00002265007,0.0000439512,0.00003126943,0.0000108918,0.000004576467,0.9988934,0.0003489212,0.0006119515],"genre_scores_gemma":[0.0001405295,0.00003204847,0.0001930139,0.00004079215,0.000003325837,0.00003948647,0.9989121,0.0001711428,0.0004675307],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8233619,"threshold_uncertainty_score":0.5909132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}