{"id":"W6962015923","doi":"10.15468/dl.x9p4zc","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; Set (abstract data type)","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":[0.0009779754,0.001934766,0.001635502,0.004937666,0.0009678666,0.002564077,0.002823343,0.002060545,0.1554794],"category_scores_gemma":[0.005720615,0.0009305097,0.001115855,0.009610064,0.0004443846,0.002284794,0.002462055,0.001984605,0.2163355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001551728,"about_ca_system_score_gemma":0.002260637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0199202,"about_ca_topic_score_gemma":0.03367899,"domain_scores_codex":[0.9990094,0.0001356709,0.0001256075,0.0003478581,0.0002218899,0.0001596226],"domain_scores_gemma":[0.9976289,0.0006751823,0.0002300228,0.0006201821,0.0005602349,0.00028557],"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":[0.00002917988,0.00001174888,0.0003691708,0.0005364238,0.00001482427,0.00001532809,0.00002238146,0.00012122,0.0001195553,0.0003715503,0.9970679,0.00132075],"study_design_scores_gemma":[0.00007830725,0.00000812617,0.001875498,0.0001857662,0.00001402374,0.00003731032,0.0000691907,0.0001405959,0.0001917135,0.0007653686,0.9966163,0.00001786207],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004107155,0.00002602185,0.00004193429,0.00003373614,0.00001086233,0.000005011719,0.9988915,0.0003420792,0.0006077981],"genre_scores_gemma":[0.0001635074,0.00003191085,0.0001830697,0.00004327812,0.000003387609,0.00004129146,0.9989416,0.0001353474,0.0004565721],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8445206,"threshold_uncertainty_score":0.5201305,"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."}}