{"id":"W6962491686","doi":"10.15468/dl.reyxya","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Research Data Management Practices","field":"Computer Science","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":[0.0009687371,0.002041611,0.001390347,0.004374145,0.001101873,0.002448142,0.00298434,0.002127121,0.1230548],"category_scores_gemma":[0.006292195,0.0008784324,0.001311945,0.008073084,0.00046836,0.002404986,0.002556918,0.002210401,0.1911939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001698312,"about_ca_system_score_gemma":0.002481285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02584464,"about_ca_topic_score_gemma":0.04394329,"domain_scores_codex":[0.9989028,0.0001500891,0.0001398219,0.0003722192,0.0002649765,0.0001701678],"domain_scores_gemma":[0.9974834,0.0006466775,0.0002027955,0.0007510412,0.0006384653,0.0002777311],"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":[0.00002670453,0.00001256519,0.0003419931,0.0003601095,0.00001170106,0.00001475506,0.00002267041,0.0001150408,0.00009173474,0.0003734172,0.9973261,0.001302982],"study_design_scores_gemma":[0.0000789214,0.000008964079,0.001852475,0.0001573152,0.00001257507,0.00004656239,0.00008514376,0.0002432407,0.0002135632,0.0009169347,0.9963661,0.0000182403],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000646088,0.00003173151,0.00007153214,0.0000580805,0.0000168426,0.000008627135,0.9981675,0.0007377509,0.0008433117],"genre_scores_gemma":[0.0001777304,0.00002926719,0.0002586433,0.00005092134,0.000003679211,0.00004508563,0.9988102,0.0001677894,0.0004567394],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8769452,"threshold_uncertainty_score":0.4116593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03761864349018661,"score_gpt":0.2888078212483628,"score_spread":0.2511891777581762,"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."}}