{"id":"W7080013647","doi":"10.15468/dl.am2yan","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); 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":[0.0008443886,0.00206548,0.001503685,0.004950062,0.0009108941,0.002370654,0.002852127,0.002012231,0.122665],"category_scores_gemma":[0.005038728,0.0008501448,0.001134691,0.009365167,0.0004419972,0.002182135,0.002426025,0.001934558,0.1834066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001682054,"about_ca_system_score_gemma":0.002287329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02280415,"about_ca_topic_score_gemma":0.0388891,"domain_scores_codex":[0.9990194,0.000127094,0.0001262684,0.0003327857,0.0002265838,0.0001678674],"domain_scores_gemma":[0.9979689,0.0004971722,0.000194526,0.0005526393,0.0005276626,0.000259153],"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":[0.00003190411,0.00001213082,0.0003473574,0.0004788502,0.00001485784,0.00001648295,0.00002004177,0.000137959,0.0001164387,0.0003965416,0.9970459,0.001381569],"study_design_scores_gemma":[0.00007684177,0.000008109133,0.001795998,0.0001572894,0.000012979,0.0000406618,0.00005861959,0.0001844777,0.0002117762,0.000775582,0.9966615,0.00001633457],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005079688,0.00002887302,0.00004387383,0.00003595136,0.0000108086,0.000005816938,0.9986959,0.000453773,0.000674193],"genre_scores_gemma":[0.0001669277,0.00003117601,0.0001689592,0.00004312477,0.00000291734,0.00003245306,0.9990301,0.0001261987,0.0003981125],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.877335,"threshold_uncertainty_score":0.4103554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0116959082794947,"score_gpt":0.2070852442648293,"score_spread":0.1953893359853346,"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."}}