{"id":"W6905824966","doi":"10.15468/dl.p9fwnt","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); Listing (finance); Range (aeronautics); Confidentiality","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":[0.001105433,0.001987298,0.001705711,0.005454161,0.0009760244,0.00285397,0.002842484,0.001932598,0.2222517],"category_scores_gemma":[0.006901198,0.0009727376,0.001145159,0.01005811,0.0004555442,0.002397366,0.002968589,0.001908144,0.2775618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001710885,"about_ca_system_score_gemma":0.002514824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02251175,"about_ca_topic_score_gemma":0.03446357,"domain_scores_codex":[0.9990417,0.0001189368,0.0001250135,0.0003173749,0.0002139706,0.0001828961],"domain_scores_gemma":[0.9974847,0.0007090024,0.0002430073,0.0006175501,0.000653277,0.0002924551],"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":[0.00002613367,0.000007740134,0.0002891229,0.0005784904,0.00001288213,0.00001325092,0.00002148323,0.00008440686,0.00009258009,0.0003801906,0.9971793,0.001314422],"study_design_scores_gemma":[0.0000657491,0.000006247251,0.001486705,0.0002444031,0.00001292587,0.00002945076,0.00006064177,0.00009812905,0.0001640584,0.0007693592,0.997047,0.00001540841],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002297381,0.00002046409,0.00003287895,0.00002741212,0.000009013078,0.000004693543,0.9989247,0.0003384536,0.0006193815],"genre_scores_gemma":[0.0001436351,0.00003584188,0.0001748637,0.00004742834,0.000003415977,0.00004592386,0.9988645,0.0001928732,0.000491377],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7777483,"threshold_uncertainty_score":0.7435061,"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."}}