{"id":"W6905788246","doi":"10.15468/dl.qerma9","title":"Occurrence Download","year":2023,"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); Alien; Range (aeronautics)","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":[0.0009695728,0.001885627,0.001601224,0.005135653,0.001031399,0.002554274,0.002692489,0.002078696,0.145787],"category_scores_gemma":[0.005855757,0.0008718511,0.001269078,0.0100104,0.0004597325,0.002295067,0.002506619,0.001926342,0.2131061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001592446,"about_ca_system_score_gemma":0.002359092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0230863,"about_ca_topic_score_gemma":0.03728792,"domain_scores_codex":[0.9989304,0.0001474576,0.0001366475,0.0003710025,0.000236693,0.0001777253],"domain_scores_gemma":[0.9973979,0.0007710421,0.0002336682,0.0006796283,0.0006298813,0.0002878998],"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":[0.00003100185,0.00001284126,0.0004198232,0.000606299,0.00001478894,0.00001735838,0.00002617593,0.0001247389,0.0001345647,0.0003654347,0.9966758,0.001571223],"study_design_scores_gemma":[0.00006836619,0.000009855257,0.002238277,0.000214516,0.00001548084,0.00004147675,0.00008823608,0.0001514023,0.0002073767,0.0006888477,0.9962577,0.00001843545],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005238864,0.00003284318,0.00004344758,0.00004011532,0.00001354336,0.000005933284,0.9987633,0.0003895084,0.0006589452],"genre_scores_gemma":[0.0001717007,0.00003895268,0.000190148,0.00004614844,0.000003793311,0.00004256656,0.9988983,0.0001304849,0.0004778866],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8542131,"threshold_uncertainty_score":0.4877059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}