{"id":"W6887120474","doi":"10.15468/dl.p8nw8w","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); Listing (finance); Range (aeronautics); Order (exchange)","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":[0.0009982075,0.002066931,0.00155408,0.005831747,0.0009671065,0.002565939,0.002705801,0.00182747,0.1849913],"category_scores_gemma":[0.005826883,0.0009343583,0.001137304,0.01007313,0.0004574956,0.002217285,0.002893597,0.001777835,0.2419114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001758813,"about_ca_system_score_gemma":0.00254799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.026995,"about_ca_topic_score_gemma":0.04440994,"domain_scores_codex":[0.9990525,0.0001126275,0.0001214122,0.0003075737,0.0002220722,0.0001838792],"domain_scores_gemma":[0.9975452,0.0006024216,0.0002399471,0.0006389069,0.0006686734,0.0003048583],"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":[0.00003086143,0.000009198887,0.0003417614,0.0005937584,0.00001362915,0.00001502583,0.00002262606,0.0001000292,0.000125217,0.0003563735,0.996892,0.001499488],"study_design_scores_gemma":[0.00006164311,0.000006557686,0.00170231,0.0002070386,0.00001252599,0.00003322191,0.00005773134,0.00009556289,0.0001771662,0.0006014473,0.9970289,0.00001578654],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002830593,0.00001982141,0.00003006741,0.0000251428,0.000008881226,0.000004943622,0.9989532,0.0003080251,0.0006215398],"genre_scores_gemma":[0.0001339896,0.00003190236,0.0001656687,0.00004124627,0.000003120135,0.00003832027,0.9989966,0.000150447,0.0004388384],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8150086,"threshold_uncertainty_score":0.6188576,"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."}}