{"id":"W7089445583","doi":"10.15468/dl.5d7th2","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","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":[0.00104884,0.002287433,0.001558022,0.00526182,0.001040129,0.00250165,0.002916765,0.002258554,0.1026022],"category_scores_gemma":[0.005693147,0.0008670651,0.001221613,0.009115531,0.000481894,0.002237092,0.00244419,0.001996259,0.1502365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001731369,"about_ca_system_score_gemma":0.002447477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01921399,"about_ca_topic_score_gemma":0.03290722,"domain_scores_codex":[0.9989373,0.0001489022,0.0001468195,0.0003604024,0.0002559375,0.0001506908],"domain_scores_gemma":[0.9978654,0.0006354732,0.0001982513,0.00054497,0.0004835311,0.0002723279],"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":[0.00004172415,0.00001861547,0.0004935282,0.000647785,0.00002057617,0.00002613412,0.0000275312,0.00020557,0.0001639533,0.0004875706,0.995904,0.001962942],"study_design_scores_gemma":[0.00009342136,0.00001097672,0.002089898,0.0002057416,0.0000184742,0.00006410159,0.00008092644,0.0003060903,0.0002856658,0.0009833355,0.9958416,0.00001963428],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008027137,0.00004650135,0.00006535097,0.0000541714,0.00001377146,0.000008140722,0.9984916,0.0005294587,0.000710668],"genre_scores_gemma":[0.0001838777,0.00003801782,0.000228207,0.00004090348,0.000002893375,0.00003826104,0.9989986,0.0001003565,0.0003689217],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8973978,"threshold_uncertainty_score":0.3432386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01142634990495084,"score_gpt":0.2390157115319853,"score_spread":0.2275893616270345,"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."}}