{"id":"W6962047539","doi":"10.15468/dl.u5gczr","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); Data set; Species name","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":[0.001047624,0.001966743,0.001660164,0.005210628,0.001002789,0.002631823,0.00282481,0.002153778,0.1510535],"category_scores_gemma":[0.006348353,0.0009151119,0.001162029,0.009885365,0.0004574672,0.002424187,0.00260253,0.002020613,0.2057955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001601431,"about_ca_system_score_gemma":0.002331465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02030502,"about_ca_topic_score_gemma":0.03409842,"domain_scores_codex":[0.9989084,0.0001568299,0.0001420667,0.0003823682,0.0002386397,0.0001717041],"domain_scores_gemma":[0.9973781,0.0007849374,0.0002502959,0.0006729088,0.0006200123,0.0002937482],"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":[0.00003176525,0.00001234355,0.0003999767,0.0006382951,0.0000161643,0.00001708605,0.00002611115,0.0001347107,0.0001234479,0.0004067228,0.9967582,0.001435201],"study_design_scores_gemma":[0.00007813083,0.000008585892,0.001879047,0.0002085111,0.00001475305,0.00003923056,0.00007659276,0.0001492794,0.0001837571,0.0007985168,0.996545,0.00001858948],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004180552,0.00002959348,0.00004482657,0.00003666616,0.00001112425,0.00000534286,0.9988727,0.000356626,0.0006013795],"genre_scores_gemma":[0.0001730881,0.00003679503,0.000207687,0.00004693812,0.000003576036,0.0000450952,0.9988889,0.0001395837,0.0004583528],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8489465,"threshold_uncertainty_score":0.5053242,"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."}}