{"id":"W6905869790","doi":"10.15468/dl.vhecx7","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Species name; 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":[0.001078328,0.002008639,0.001593634,0.004888536,0.00100816,0.00258695,0.002926639,0.002197793,0.1615529],"category_scores_gemma":[0.006230264,0.0009206565,0.001287416,0.009463897,0.0004720789,0.002406043,0.00261071,0.002065331,0.2262496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00162295,"about_ca_system_score_gemma":0.002405854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02227306,"about_ca_topic_score_gemma":0.03578495,"domain_scores_codex":[0.9988683,0.0001627498,0.0001430069,0.0003964521,0.0002464783,0.0001830016],"domain_scores_gemma":[0.9972557,0.0007953693,0.0002411814,0.0007457871,0.0006597715,0.0003020986],"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":[0.00002887989,0.00001175361,0.0003469276,0.0004882451,0.00001421247,0.00001411744,0.00002147879,0.0001192441,0.0001037072,0.000354257,0.9972066,0.001290476],"study_design_scores_gemma":[0.0000766743,0.00000869915,0.001867047,0.0001883589,0.00001442084,0.00003670227,0.00007378506,0.0001526117,0.0001945333,0.0008496922,0.996519,0.00001853058],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003929911,0.00002492915,0.00004303659,0.00003703266,0.00001188212,0.000005379479,0.9988804,0.0003613138,0.0005967414],"genre_scores_gemma":[0.000153454,0.00003109104,0.0001873142,0.00004587108,0.000003457335,0.00004151935,0.9989609,0.000139006,0.000437471],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8384471,"threshold_uncertainty_score":0.5404482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}