{"id":"W6887144181","doi":"10.15468/dl.t5aazv","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); Alien","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":[0.001029059,0.001909101,0.001528645,0.004933887,0.001031546,0.002552486,0.002743345,0.002093322,0.1526944],"category_scores_gemma":[0.00644448,0.0009041043,0.001229084,0.009443027,0.0004508609,0.002379495,0.002629191,0.002047351,0.2090683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001495716,"about_ca_system_score_gemma":0.002365181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01995587,"about_ca_topic_score_gemma":0.03262755,"domain_scores_codex":[0.9989115,0.0001546085,0.0001379272,0.000376994,0.000242574,0.0001764637],"domain_scores_gemma":[0.9972231,0.0008206035,0.000245804,0.0007541481,0.0006517651,0.0003044476],"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":[0.00002864613,0.00001221736,0.0003875309,0.0005219326,0.0000142673,0.00001506878,0.00002386251,0.0001270742,0.0001147637,0.000374241,0.9969632,0.001417036],"study_design_scores_gemma":[0.00007223883,0.000009148926,0.001908313,0.0001967209,0.00001359888,0.00003778133,0.00008012614,0.000155751,0.0001902503,0.0007725456,0.9965454,0.00001811876],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004860189,0.00002913919,0.00004751268,0.00004330929,0.00001526696,0.000006184732,0.9987549,0.0004159887,0.000639228],"genre_scores_gemma":[0.0001699999,0.00003488509,0.0002032169,0.0000499844,0.000003991073,0.00004563753,0.9988577,0.0001503015,0.0004841893],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8473057,"threshold_uncertainty_score":0.5108136,"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."}}