{"id":"W7081660653","doi":"10.15468/dl.rue8gg","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; 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":[0.0008672209,0.001862231,0.001479529,0.004994567,0.0009380222,0.002483016,0.00268424,0.002038124,0.1413944],"category_scores_gemma":[0.006015998,0.0008294552,0.001108928,0.01012725,0.0004355698,0.002266633,0.002424108,0.001895656,0.1861658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001867299,"about_ca_system_score_gemma":0.002678945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02936498,"about_ca_topic_score_gemma":0.04935403,"domain_scores_codex":[0.9989261,0.000136008,0.0001433188,0.000363696,0.0002521944,0.0001785403],"domain_scores_gemma":[0.9975357,0.0006498874,0.0002337107,0.0006332467,0.0006494985,0.0002979716],"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":[0.00002925967,0.00001019097,0.0003322444,0.0004638168,0.00001331218,0.00001378801,0.00001844804,0.0001233616,0.00008894676,0.0003979057,0.9972973,0.001211395],"study_design_scores_gemma":[0.00007937885,0.000007687717,0.001787697,0.0001735843,0.00001257276,0.00003328464,0.00005986952,0.000178205,0.0001731962,0.0008052979,0.9966733,0.00001589381],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003892196,0.0000242345,0.0000366332,0.00003519524,0.000009756631,0.000004986394,0.9988676,0.0003735219,0.0006091164],"genre_scores_gemma":[0.0001644616,0.00003196109,0.000166733,0.00004440909,0.000003142076,0.00003326515,0.9990152,0.0001243533,0.0004163992],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8586056,"threshold_uncertainty_score":0.4730114,"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."}}