{"id":"W6943497827","doi":"10.15468/dl.sszhud","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); Data set","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":[0.001120328,0.001968331,0.001617233,0.005428771,0.001053274,0.002719264,0.002926782,0.002044514,0.162016],"category_scores_gemma":[0.006565957,0.0009615367,0.00116227,0.01055342,0.0004745434,0.002397165,0.002635676,0.002042288,0.2277471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001664262,"about_ca_system_score_gemma":0.002467064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02177115,"about_ca_topic_score_gemma":0.03602225,"domain_scores_codex":[0.998792,0.0001626953,0.0001615479,0.0004176786,0.0002727374,0.0001933171],"domain_scores_gemma":[0.9972223,0.0007978427,0.0002613169,0.0007348958,0.0006692974,0.0003143966],"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":[0.00002846606,0.00001073666,0.0003551799,0.0005157265,0.00001464504,0.00001448404,0.0000234883,0.0001147409,0.0001188447,0.0003991615,0.9970535,0.001350905],"study_design_scores_gemma":[0.00006574637,0.000007395084,0.001736883,0.0001838563,0.00001351864,0.00003675568,0.0000732059,0.0001328682,0.0001775863,0.0007181133,0.9968373,0.00001690066],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003696417,0.00002472371,0.00004308878,0.00003290603,0.00001153498,0.000004610712,0.9989231,0.0003282641,0.0005947372],"genre_scores_gemma":[0.000137999,0.00003033119,0.0001769122,0.00003874693,0.00000314373,0.00003541877,0.9990169,0.0001362923,0.000424236],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.837984,"threshold_uncertainty_score":0.5419974,"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."}}