{"id":"W6886908024","doi":"10.15468/dl.kz55dj","title":"Occurrence Download","year":2020,"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 collection; Data set","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":[0.001028302,0.001983044,0.001619553,0.005498468,0.0008979184,0.002418632,0.002836979,0.002184092,0.1606098],"category_scores_gemma":[0.006110571,0.0008902326,0.001176894,0.01036308,0.0004491921,0.002341232,0.002439078,0.001852763,0.2059839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001637207,"about_ca_system_score_gemma":0.002275669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01954316,"about_ca_topic_score_gemma":0.02957694,"domain_scores_codex":[0.9989268,0.0001414509,0.0001505823,0.0003564938,0.0002398495,0.0001847999],"domain_scores_gemma":[0.9975042,0.0006950143,0.0002471154,0.0006320004,0.0006147627,0.0003069506],"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":[0.00003737862,0.00001218174,0.0003975827,0.0006517664,0.0000167542,0.00001772173,0.00002158363,0.0001372378,0.000142983,0.000378968,0.9966456,0.001540167],"study_design_scores_gemma":[0.00008270706,0.000009615569,0.002140624,0.0002080711,0.00001595181,0.00004295171,0.00006477477,0.0001579116,0.000219839,0.0007018788,0.9963371,0.00001865396],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003836645,0.00002703655,0.00003310365,0.00003231978,0.00001014626,0.000004788816,0.9990147,0.0002982103,0.0005412064],"genre_scores_gemma":[0.0001561514,0.00003196161,0.0001514752,0.00004315667,0.000003316688,0.00003520038,0.9990754,0.0001038287,0.0003994354],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8393902,"threshold_uncertainty_score":0.5372933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101450523743655,"score_gpt":0.226568981422551,"score_spread":0.2055544761851144,"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."}}