{"id":"W6887072029","doi":"10.15468/dl.namd3j","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); Botryosphaeria; Alien","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":[0.0009485969,0.001856376,0.001575004,0.004972483,0.001042978,0.002625555,0.00265077,0.002116517,0.1662378],"category_scores_gemma":[0.0062611,0.0008612137,0.001258384,0.009352471,0.0004431555,0.002524625,0.002592181,0.002002123,0.2376576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001631844,"about_ca_system_score_gemma":0.002410205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02356902,"about_ca_topic_score_gemma":0.03853128,"domain_scores_codex":[0.9989275,0.0001526032,0.0001301674,0.0003820729,0.0002322757,0.0001752539],"domain_scores_gemma":[0.9973069,0.0007950976,0.0002259212,0.0007079721,0.0006804548,0.000283758],"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":[0.0000271238,0.00001075067,0.0003610665,0.0005096253,0.00001213346,0.00001418066,0.00002204888,0.0001062397,0.00009666221,0.0003332851,0.9971274,0.001379618],"study_design_scores_gemma":[0.00006241512,0.000008545919,0.001818623,0.000206104,0.00001323758,0.00003393642,0.000077178,0.0001474295,0.000169029,0.0007629872,0.9966835,0.00001705423],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004204971,0.00002970645,0.00004082172,0.0000449958,0.00001342653,0.000005935615,0.9987308,0.0003958064,0.0006963764],"genre_scores_gemma":[0.0001697417,0.00003894007,0.0002000571,0.00005339402,0.000004244536,0.0000454295,0.9987789,0.0001556389,0.0005537661],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8337622,"threshold_uncertainty_score":0.5561209,"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."}}