{"id":"W6962167907","doi":"10.15468/dl.kb7gkn","title":"Occurrence Download","year":2021,"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); Confidentiality; Real world data","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":[0.0008332427,0.00184553,0.001486382,0.005117901,0.0009584178,0.002660138,0.002652247,0.001902083,0.1683051],"category_scores_gemma":[0.005617489,0.0008970646,0.001155491,0.01019573,0.0004176787,0.002436609,0.002565218,0.001989483,0.2373855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001691661,"about_ca_system_score_gemma":0.00229063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02395815,"about_ca_topic_score_gemma":0.03910966,"domain_scores_codex":[0.9990532,0.0001186384,0.000116178,0.0003394319,0.0002105398,0.0001621085],"domain_scores_gemma":[0.9978409,0.0005898823,0.0001959189,0.0005440927,0.0005945496,0.000234628],"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":[0.00002507438,0.000009764815,0.0003842403,0.0005439963,0.0000134308,0.00001510055,0.00002447076,0.0001265456,0.0000996544,0.0003928683,0.9966156,0.001749276],"study_design_scores_gemma":[0.00005158722,0.000006090388,0.001488441,0.0001778986,0.00001146416,0.00003264886,0.00007280225,0.0001394506,0.0001514427,0.0006874155,0.9971657,0.00001518686],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000421744,0.00003002564,0.00005258845,0.00003811483,0.00001287275,0.00000539544,0.9985514,0.0004691591,0.0007982082],"genre_scores_gemma":[0.000182434,0.00004173533,0.0002560698,0.0000471062,0.000003911296,0.00004376642,0.9986222,0.0001984573,0.0006043836],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8316948,"threshold_uncertainty_score":0.5630367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}