{"id":"W6887131517","doi":"10.15468/dl.rtqb5j","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); Set (abstract data type)","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":[0.001098995,0.00193983,0.001622315,0.004951034,0.001059099,0.002670393,0.002898321,0.002103562,0.1722612],"category_scores_gemma":[0.006400348,0.001008598,0.001150713,0.009825462,0.0004694021,0.002284278,0.002630868,0.002110513,0.2196245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001733213,"about_ca_system_score_gemma":0.002522917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02373581,"about_ca_topic_score_gemma":0.0372746,"domain_scores_codex":[0.9989302,0.0001368876,0.0001368139,0.0003724781,0.0002479949,0.0001755964],"domain_scores_gemma":[0.9973763,0.0007762985,0.0002481478,0.0006744326,0.0006366133,0.0002882807],"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":[0.00002764337,0.00001089159,0.000368245,0.0005476779,0.00001514784,0.00001488997,0.00002558296,0.000125345,0.000131373,0.0004156881,0.9969431,0.001374459],"study_design_scores_gemma":[0.0000706179,0.000007400773,0.001857778,0.000192045,0.00001491873,0.00003663968,0.00007249055,0.0001366278,0.0001991851,0.0007275391,0.9966665,0.00001834359],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003606829,0.0000228273,0.00004594776,0.00003326555,0.0000108588,0.00000476991,0.9988832,0.000358308,0.000604741],"genre_scores_gemma":[0.00015625,0.00003136878,0.0002065892,0.00004277822,0.000002968367,0.00004191139,0.9988889,0.0001717644,0.0004574947],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8277388,"threshold_uncertainty_score":0.5762712,"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."}}