{"id":"W6962599975","doi":"10.15468/dl.wf7j95","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); Bounding overwatch; Order (exchange)","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":[0.000754717,0.001945222,0.00151046,0.004700575,0.001070046,0.002600572,0.002692426,0.001901721,0.1651004],"category_scores_gemma":[0.005186236,0.0008771088,0.001269795,0.009369591,0.0003857226,0.002500065,0.002484006,0.00197088,0.2540696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001690604,"about_ca_system_score_gemma":0.002445258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02871288,"about_ca_topic_score_gemma":0.04921441,"domain_scores_codex":[0.9990386,0.0001138724,0.0001150408,0.0003408488,0.0002226384,0.0001690854],"domain_scores_gemma":[0.9978223,0.0005463822,0.0001835978,0.000565806,0.0006412431,0.000240695],"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":[0.00002904255,0.00001035804,0.0004181065,0.0005027808,0.00001445289,0.00001667653,0.00002330799,0.000128054,0.0001225389,0.0003918631,0.9966081,0.001734651],"study_design_scores_gemma":[0.00005163908,0.000006610375,0.00161025,0.0001541376,0.00001226477,0.00003274869,0.00006737947,0.0001531384,0.0001798274,0.0006684961,0.9970472,0.00001620711],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004486011,0.00002834234,0.00005635079,0.00003481449,0.00001340637,0.00000473825,0.9984357,0.0005500938,0.000831761],"genre_scores_gemma":[0.000149302,0.00003406549,0.0002187818,0.00003974892,0.000003446035,0.00003179516,0.9987773,0.0001827432,0.0005627546],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8348996,"threshold_uncertainty_score":0.5523158,"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."}}