{"id":"W6924617672","doi":"10.15468/dl.rbg6u1","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; Matching (statistics); Range (aeronautics); The Internet","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":[0.001045295,0.002086256,0.001588821,0.005659066,0.001024549,0.002728107,0.002916751,0.001917444,0.1715722],"category_scores_gemma":[0.006401434,0.0009178012,0.001180833,0.01081942,0.000446842,0.002774495,0.002966687,0.002097243,0.2645453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00162081,"about_ca_system_score_gemma":0.002554427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0233486,"about_ca_topic_score_gemma":0.04240694,"domain_scores_codex":[0.9988282,0.0001699065,0.0001457492,0.000398198,0.0002646431,0.0001932488],"domain_scores_gemma":[0.99704,0.0007269328,0.0002634145,0.0008309343,0.00078724,0.0003515952],"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":[0.00002390933,0.000008928022,0.0002682788,0.0003811521,0.00001134077,0.00001100243,0.0000191518,0.00007748501,0.00007549376,0.0003201085,0.9976134,0.001189727],"study_design_scores_gemma":[0.00005528164,0.000006671784,0.00143396,0.0001531697,0.00001080177,0.00002926445,0.00005739661,0.0001071838,0.0001457418,0.0007282064,0.9972576,0.00001467108],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000368076,0.00002635542,0.00004459984,0.00003777977,0.00001193155,0.000005603543,0.9985992,0.0004736797,0.0007639552],"genre_scores_gemma":[0.0001280605,0.00003115261,0.0001747544,0.00004376324,0.000003746592,0.00003476853,0.9989127,0.0001722434,0.0004987157],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8284279,"threshold_uncertainty_score":0.573966,"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."}}