{"id":"W6887244773","doi":"10.15468/dl.tcwvr6","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); Column (typography)","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":[0.001152699,0.002012954,0.001676884,0.005050192,0.001081705,0.002796526,0.00304095,0.002056031,0.1729463],"category_scores_gemma":[0.006571131,0.001010088,0.001179528,0.01030116,0.000461014,0.002414295,0.002624951,0.002118351,0.2404671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001695898,"about_ca_system_score_gemma":0.002466893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0229271,"about_ca_topic_score_gemma":0.03675722,"domain_scores_codex":[0.9988573,0.0001563971,0.0001462371,0.0003942839,0.0002617908,0.0001840567],"domain_scores_gemma":[0.9973305,0.0007462528,0.0002429693,0.0007114224,0.0006778988,0.0002908239],"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":[0.00002658185,0.000009976384,0.0003232113,0.0004926067,0.00001473475,0.00001404402,0.00002334073,0.0001108083,0.0001086352,0.0004054898,0.9972016,0.00126906],"study_design_scores_gemma":[0.00006282195,0.000006377703,0.001553905,0.0001677516,0.00001338327,0.0000333059,0.00006418405,0.000126279,0.0001769601,0.0007573952,0.9970207,0.00001691601],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003323172,0.00002373173,0.00004905829,0.00003225755,0.00001074758,0.0000048019,0.9987898,0.0003872218,0.0006690708],"genre_scores_gemma":[0.0001402124,0.00003047624,0.0001965587,0.00004033948,0.000003065418,0.00003995096,0.998928,0.0001759805,0.0004453484],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8270537,"threshold_uncertainty_score":0.5785629,"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."}}