{"id":"W6962224004","doi":"10.15468/dl.yhscrq","title":"Occurrence Download","year":2019,"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; Data set","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":[0.001021576,0.001943264,0.001587393,0.005024119,0.001004701,0.002548286,0.002999272,0.002047841,0.1481477],"category_scores_gemma":[0.005715947,0.0009046239,0.001172559,0.009692613,0.0004633772,0.002204644,0.002569884,0.002002521,0.2100427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001632559,"about_ca_system_score_gemma":0.00232323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02252452,"about_ca_topic_score_gemma":0.03611139,"domain_scores_codex":[0.9989992,0.0001326265,0.0001281161,0.0003544033,0.000217432,0.0001681492],"domain_scores_gemma":[0.9977427,0.00064261,0.0002188075,0.0005926282,0.000543276,0.0002599969],"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":[0.00002942119,0.00001161198,0.0003881515,0.0005406869,0.00001577716,0.00001654985,0.00002552365,0.0001267149,0.0001292411,0.0004222377,0.9968908,0.00140322],"study_design_scores_gemma":[0.00006724598,0.000007711536,0.001815835,0.0001822178,0.00001537896,0.00003969477,0.00007084691,0.0001452424,0.0002028816,0.0007848757,0.9966503,0.00001778909],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004411799,0.00002843361,0.00004899561,0.00003563718,0.0000120218,0.000005282657,0.9987789,0.0003969292,0.0006496243],"genre_scores_gemma":[0.0001647927,0.00003222169,0.0001934967,0.000041617,0.000003089678,0.00003941512,0.9989411,0.0001529735,0.0004312541],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8518523,"threshold_uncertainty_score":0.4956034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}