{"id":"W6887241906","doi":"10.15468/dl.s8yh7v","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); Confidentiality; State (computer science)","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":[0.001010769,0.001970237,0.001522019,0.005001938,0.0009984662,0.002408073,0.002850736,0.0020742,0.1482824],"category_scores_gemma":[0.005766826,0.0008734563,0.001141369,0.009428118,0.0004695299,0.00223721,0.002498601,0.002005444,0.2022844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001520615,"about_ca_system_score_gemma":0.002227979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02020036,"about_ca_topic_score_gemma":0.03475294,"domain_scores_codex":[0.9990043,0.0001388987,0.0001253041,0.000350501,0.000216514,0.0001645478],"domain_scores_gemma":[0.9976072,0.000691244,0.0002326511,0.0006270121,0.0005618871,0.0002799286],"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":[0.00002806137,0.00001238444,0.0004008211,0.0005255187,0.00001437962,0.00001559134,0.00002474834,0.0001378621,0.000123783,0.0003690759,0.9969211,0.001426755],"study_design_scores_gemma":[0.00007243812,0.000008609064,0.001920659,0.0001866024,0.0000142809,0.00003907248,0.00007753568,0.0001677031,0.0001991744,0.0007630275,0.9965328,0.00001795207],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005309625,0.00002956238,0.00005068287,0.00003785729,0.00001358127,0.000005750544,0.9987406,0.0003977072,0.0006711505],"genre_scores_gemma":[0.0001793863,0.00003210599,0.0002085332,0.00004418238,0.000003619903,0.0000444675,0.9988829,0.0001465596,0.0004582605],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8517176,"threshold_uncertainty_score":0.496054,"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."}}