{"id":"W6887274413","doi":"10.15468/dl.xcybd4","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); Alien; Range (aeronautics)","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":[0.001055361,0.001925214,0.001515517,0.004775827,0.00102623,0.002520368,0.002812456,0.00216365,0.1512382],"category_scores_gemma":[0.005953185,0.0008950005,0.001230004,0.009164295,0.0004564977,0.002344816,0.002450387,0.002088602,0.2094743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001641668,"about_ca_system_score_gemma":0.002403322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02282722,"about_ca_topic_score_gemma":0.03831643,"domain_scores_codex":[0.9989132,0.0001588383,0.0001338954,0.0003804128,0.0002388298,0.0001749042],"domain_scores_gemma":[0.9973754,0.0007853205,0.0002347837,0.0007081665,0.0006108283,0.0002855606],"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":[0.00002912327,0.00001261748,0.0003700776,0.0004621662,0.00001385558,0.00001419784,0.0000224456,0.0001282231,0.0001081511,0.0003905661,0.9971169,0.001331687],"study_design_scores_gemma":[0.0000729673,0.000008855332,0.002013888,0.0001861236,0.00001399815,0.00003680931,0.00007728971,0.0001602954,0.0001968641,0.0008741483,0.99634,0.00001867638],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004527324,0.00002469262,0.00004559104,0.00003932106,0.0000120506,0.000005356373,0.998838,0.0003491732,0.0006405906],"genre_scores_gemma":[0.0001595982,0.00002931487,0.0001915473,0.00004382393,0.000003309839,0.00004069958,0.9989337,0.0001304716,0.0004674479],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8487618,"threshold_uncertainty_score":0.5059423,"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."}}