{"id":"W6887130307","doi":"10.15468/dl.r4pwts","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); Alien; The Internet","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":[0.000973075,0.001972354,0.001508166,0.004792071,0.001020336,0.002510793,0.00270906,0.002119951,0.1574018],"category_scores_gemma":[0.006098068,0.0008679682,0.001247986,0.008927515,0.0004582775,0.00234578,0.002559143,0.001937891,0.2238828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001516791,"about_ca_system_score_gemma":0.00224421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02161377,"about_ca_topic_score_gemma":0.03420299,"domain_scores_codex":[0.9989913,0.0001444181,0.0001255437,0.0003534741,0.0002184125,0.0001668878],"domain_scores_gemma":[0.9974567,0.0007400711,0.0002187512,0.0006804337,0.0006337527,0.000270274],"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":[0.00002898048,0.00001244304,0.0004124758,0.0005106564,0.00001333959,0.00001567115,0.00002410668,0.0001343207,0.000109514,0.0003375415,0.996893,0.001507803],"study_design_scores_gemma":[0.00007360998,0.000009835727,0.001986906,0.0002029047,0.00001401271,0.00003887954,0.0000886595,0.0001873436,0.0001937843,0.0007947887,0.9963905,0.00001871698],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005131045,0.00002931896,0.00004863306,0.00004399963,0.00001519098,0.000006423964,0.9986827,0.0004540196,0.0006684525],"genre_scores_gemma":[0.0001825413,0.00003441331,0.0002204619,0.00005048553,0.000004247489,0.00004734872,0.9988163,0.0001545494,0.0004896073],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8425982,"threshold_uncertainty_score":0.5265614,"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."}}