{"id":"W6943570520","doi":"10.15468/dl.vubkp6","title":"Occurrence Download","year":2021,"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); Arrow; 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":[0.001016223,0.002071139,0.001768624,0.005829475,0.0009446834,0.002589815,0.002839312,0.001995998,0.1882826],"category_scores_gemma":[0.006152907,0.0009909596,0.001191543,0.01117272,0.0004446723,0.002431091,0.002777062,0.002083804,0.2476778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001557676,"about_ca_system_score_gemma":0.002326774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01958252,"about_ca_topic_score_gemma":0.03358901,"domain_scores_codex":[0.9988924,0.0001402153,0.0001427304,0.0003821759,0.0002565687,0.0001858341],"domain_scores_gemma":[0.9971899,0.0007520115,0.0002676514,0.0007386756,0.0006895498,0.0003620819],"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":[0.00002797721,0.0000104255,0.0003371173,0.0005224874,0.00001457596,0.00001323675,0.00002148018,0.0001087544,0.0001160413,0.0003310255,0.9971098,0.001387088],"study_design_scores_gemma":[0.00007333884,0.000008219504,0.001987139,0.0001803553,0.0000147677,0.00003423543,0.00006946033,0.0001367782,0.0001928377,0.0006828497,0.9966021,0.0000178523],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003285292,0.00002003496,0.00003581068,0.00002692976,0.000009161062,0.000004600352,0.9990271,0.0003179191,0.0005256357],"genre_scores_gemma":[0.0001311236,0.00002616671,0.0001730051,0.00003306162,0.000002896904,0.0000367295,0.9990156,0.0001358793,0.0004454374],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8117174,"threshold_uncertainty_score":0.6298681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}