{"id":"W6905850807","doi":"10.15468/dl.kw8z5w","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); Alien; The Internet","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":[0.001045965,0.001899255,0.00160136,0.004991606,0.001029868,0.002683279,0.002820036,0.002106433,0.1654269],"category_scores_gemma":[0.006383813,0.000914401,0.001238775,0.009861783,0.0004477527,0.002548536,0.002602293,0.002080585,0.2354324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001624781,"about_ca_system_score_gemma":0.002422739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02157966,"about_ca_topic_score_gemma":0.03675018,"domain_scores_codex":[0.9988533,0.0001686379,0.0001438514,0.0004055083,0.0002455629,0.0001831344],"domain_scores_gemma":[0.9971712,0.0008121317,0.0002509177,0.0007534634,0.0007112694,0.0003010592],"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":[0.00002697946,0.00001079773,0.0003316748,0.0005041026,0.00001339867,0.00001272174,0.00002140549,0.0001086647,0.00009519003,0.0003613804,0.9971951,0.001318559],"study_design_scores_gemma":[0.00006582308,0.000007887429,0.00163324,0.0001890329,0.00001302328,0.00003114066,0.00006913255,0.0001310027,0.0001608423,0.0008296737,0.9968522,0.00001692312],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003578773,0.00002522663,0.00004068106,0.00003673836,0.00001159323,0.000005136698,0.9988734,0.0003361869,0.0006351386],"genre_scores_gemma":[0.0001462452,0.00003390522,0.0001925131,0.00004767538,0.000003634103,0.00004190954,0.9989022,0.0001451871,0.0004866721],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.834573,"threshold_uncertainty_score":0.5534083,"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."}}