{"id":"W6887044461","doi":"10.15468/dl.l9b5yb","title":"Occurrence Download","year":2018,"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; State (computer science); Taxon; Range (aeronautics); Natural history","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":["insufficient_payload"],"category_scores_codex":[0.001014508,0.002888215,0.00260855,0.007564595,0.001387087,0.004500018,0.002985861,0.002072967,0.4124623],"category_scores_gemma":[0.007154618,0.001095683,0.001998649,0.01360731,0.0004000423,0.004306661,0.004083708,0.002085631,0.5145785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001639585,"about_ca_system_score_gemma":0.002742808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02402901,"about_ca_topic_score_gemma":0.03918073,"domain_scores_codex":[0.9984229,0.0001700533,0.0002194203,0.0005943503,0.0003266654,0.0002665961],"domain_scores_gemma":[0.9967473,0.0007836832,0.0002078773,0.000869513,0.0009834521,0.0004082929],"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":[0.00004223595,0.00001259827,0.0002369969,0.0004963832,0.00001349338,0.00001519508,0.00002190399,0.00008265983,0.00007682988,0.0003970787,0.9953769,0.003227685],"study_design_scores_gemma":[0.00007330055,0.0000134335,0.001358297,0.0001732018,0.00001503781,0.00003593504,0.00008740367,0.0002110405,0.0001453231,0.001184209,0.9966804,0.00002230538],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004086612,0.0000364197,0.0000945875,0.00004511972,0.00003177498,0.00001188237,0.9963915,0.001397146,0.001950729],"genre_scores_gemma":[0.0001716129,0.00005872189,0.000520935,0.00007617302,0.000009275137,0.00006390824,0.9971372,0.0004321978,0.001530105],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5875378,"threshold_uncertainty_score":0.8380513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881883250631837,"score_gpt":0.2330296220854826,"score_spread":0.2142107895791642,"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."}}