{"id":"W6962367873","doi":"10.15468/dl.rhoesz","title":"Occurrence Download","year":2017,"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 Protection Act 1998","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":[0.001011735,0.002004583,0.001729917,0.005627257,0.0009660181,0.002542038,0.003020214,0.002129021,0.1309038],"category_scores_gemma":[0.005976765,0.0008553609,0.001220667,0.0107256,0.0004563722,0.002243211,0.002618297,0.002023275,0.1927964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001536973,"about_ca_system_score_gemma":0.002456493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01971059,"about_ca_topic_score_gemma":0.03350101,"domain_scores_codex":[0.9988949,0.0001446963,0.0001485096,0.0003726058,0.0002517141,0.0001876077],"domain_scores_gemma":[0.997535,0.0006537237,0.0002490893,0.0006355679,0.0006353138,0.0002911808],"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":[0.00003178913,0.00001292782,0.0004510318,0.0006236327,0.00001916725,0.00001706464,0.00002339234,0.0001453292,0.0001296042,0.000384217,0.9966593,0.001502505],"study_design_scores_gemma":[0.00008328519,0.000009648954,0.002145759,0.0002298532,0.000018297,0.00004435189,0.00007258218,0.0001628106,0.000202202,0.0007663746,0.996246,0.00001878694],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004913752,0.00003800538,0.00004152836,0.00003488561,0.00001219565,0.000005354057,0.9989395,0.0003299725,0.0005494017],"genre_scores_gemma":[0.0001542386,0.00003608501,0.0001534017,0.00003765306,0.000003252266,0.00003370499,0.9991301,0.0001001601,0.0003514071],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8690962,"threshold_uncertainty_score":0.4379168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02387106755018206,"score_gpt":0.2528130017232275,"score_spread":0.2289419341730454,"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."}}