{"id":"W6943321707","doi":"10.15468/dl.mzgndt","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); Range (aeronautics); 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":[0.001053297,0.001964072,0.001668143,0.005252196,0.001078178,0.002798298,0.002966223,0.002117237,0.1728522],"category_scores_gemma":[0.006347809,0.0009817465,0.001178676,0.01030149,0.0004691227,0.002610185,0.002775736,0.002145194,0.2337061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001618087,"about_ca_system_score_gemma":0.002382242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02080348,"about_ca_topic_score_gemma":0.03494351,"domain_scores_codex":[0.9988794,0.0001556021,0.0001438589,0.0003938656,0.0002451406,0.0001821826],"domain_scores_gemma":[0.9973405,0.0007700578,0.0002408481,0.0007019803,0.000642031,0.000304622],"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":[0.00002623299,0.00001086102,0.0003334935,0.0005341417,0.00001348459,0.00001396412,0.00002344495,0.0001076999,0.000102617,0.0003915011,0.9971743,0.001268373],"study_design_scores_gemma":[0.0000660588,0.000007183692,0.001570124,0.000185854,0.00001271541,0.00003386513,0.00007224664,0.0001244872,0.0001572635,0.0007534302,0.9969999,0.00001674063],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003840448,0.00002636201,0.00004561319,0.00003664627,0.00001230356,0.000005380462,0.9988145,0.0003487242,0.0006722094],"genre_scores_gemma":[0.0001538313,0.00003517919,0.0001981641,0.00004676059,0.000003552366,0.00004416724,0.9988551,0.0001564659,0.0005068182],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8271478,"threshold_uncertainty_score":0.5782481,"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."}}