{"id":"W6962401850","doi":"10.15468/dl.pyk6ho","title":"Occurrence Download","year":2020,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Arrow","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":[0.001052114,0.001790417,0.001484935,0.004562379,0.000900886,0.002452273,0.002798706,0.002038115,0.1504887],"category_scores_gemma":[0.006433246,0.0008500111,0.001105179,0.008924466,0.0004450814,0.002127393,0.002374555,0.001994584,0.2101352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001600154,"about_ca_system_score_gemma":0.002296437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02097313,"about_ca_topic_score_gemma":0.03165929,"domain_scores_codex":[0.998997,0.0001417891,0.000129597,0.0003412506,0.0002306838,0.0001596398],"domain_scores_gemma":[0.9973007,0.0007422537,0.0002517861,0.000767385,0.0006355969,0.0003023527],"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":[0.00002798162,0.00001151569,0.0003794541,0.0003693695,0.00001203674,0.00001283588,0.00001925982,0.0001391013,0.00007713405,0.0003548581,0.9972622,0.001334301],"study_design_scores_gemma":[0.0000898109,0.000009583986,0.002188209,0.0001706802,0.00001392075,0.00003678917,0.00007582291,0.0002251135,0.0001915103,0.0009276065,0.9960531,0.00001783765],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004472978,0.00002061894,0.00004158822,0.00003995482,0.00001126967,0.000005595178,0.9989312,0.0003567467,0.0005483009],"genre_scores_gemma":[0.0001701785,0.00002763398,0.00019391,0.00004315002,0.000003672974,0.00004738262,0.9988576,0.000132863,0.0005236494],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8495113,"threshold_uncertainty_score":0.5034348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03410492424052058,"score_gpt":0.1935123892835679,"score_spread":0.1594074650430473,"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."}}