{"id":"W6943642212","doi":"10.15468/dl.qfkr1e","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); 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":[0.0009515034,0.001924917,0.001554746,0.005812548,0.0009381558,0.002573453,0.002668124,0.001917768,0.1592297],"category_scores_gemma":[0.00572982,0.0008531368,0.001136337,0.01097778,0.0004256238,0.002198114,0.002614764,0.001838233,0.2216757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00161453,"about_ca_system_score_gemma":0.002416304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02294408,"about_ca_topic_score_gemma":0.03724476,"domain_scores_codex":[0.9989225,0.0001408894,0.0001542235,0.0003571645,0.000237341,0.0001880163],"domain_scores_gemma":[0.997438,0.0006724122,0.0002652405,0.0006608117,0.0006550665,0.000308497],"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":[0.00003413825,0.00001068985,0.0003894131,0.0006121683,0.00001669609,0.00001661661,0.00002419472,0.0001172715,0.0001332624,0.0004314696,0.9966986,0.001515575],"study_design_scores_gemma":[0.00006626728,0.000007488574,0.001797322,0.0001925809,0.00001432755,0.00003640964,0.00006270172,0.0001133153,0.000183074,0.0007065781,0.9968033,0.00001663615],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003615287,0.00002558754,0.00003446607,0.00002934281,0.000009934514,0.000004524976,0.9989453,0.0003042756,0.0006105681],"genre_scores_gemma":[0.0001468132,0.0000341524,0.000155292,0.0000408254,0.000003283967,0.00003193915,0.9990515,0.000121366,0.0004147844],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8407702,"threshold_uncertainty_score":0.5326766,"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."}}