{"id":"W4396284620","doi":"10.15468/dl.gw98c7","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Computer science; World Wide Web","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":[0.001121075,0.002049861,0.001591803,0.004362728,0.0009884565,0.002603504,0.003044517,0.002104423,0.1408843],"category_scores_gemma":[0.006042998,0.0009243196,0.001291841,0.007980358,0.0004433788,0.002123787,0.002386975,0.002192314,0.2063289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00150795,"about_ca_system_score_gemma":0.00225652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01875346,"about_ca_topic_score_gemma":0.03095432,"domain_scores_codex":[0.9989933,0.0001473655,0.0001196487,0.0003627094,0.0002226783,0.0001541568],"domain_scores_gemma":[0.9976569,0.000709252,0.0002030331,0.0006188542,0.0005563569,0.0002555414],"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":[0.00002928761,0.00001151717,0.0003390732,0.0004485854,0.00001570385,0.00001540696,0.00002144439,0.0001322983,0.0001073364,0.0003931245,0.9971765,0.001309862],"study_design_scores_gemma":[0.00008835168,0.000008713131,0.001790033,0.0001587521,0.00001701542,0.00004228331,0.00006588652,0.0002265793,0.0002413198,0.001083496,0.9962575,0.00002005485],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004466434,0.0000262054,0.0000671579,0.00003823799,0.00001205638,0.0000063414,0.9986061,0.0005937903,0.0006054197],"genre_scores_gemma":[0.0001675245,0.00002863364,0.0002589508,0.00004900878,0.00000353631,0.00005060149,0.9988379,0.000211647,0.000392097],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8591157,"threshold_uncertainty_score":0.4713049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01800100390821396,"score_gpt":0.2287529204927818,"score_spread":0.2107519165845679,"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."}}