{"id":"W6905856557","doi":"10.15468/dl.qjtm4n","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; UniProt","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":[0.0009877359,0.001912886,0.001558798,0.005099523,0.001051402,0.002499961,0.002765474,0.002097527,0.1448545],"category_scores_gemma":[0.00592238,0.0008774503,0.001268784,0.01010303,0.0004732122,0.002274418,0.002530376,0.001963966,0.2068002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001564837,"about_ca_system_score_gemma":0.002388508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02345812,"about_ca_topic_score_gemma":0.03796294,"domain_scores_codex":[0.9989416,0.0001486574,0.0001332498,0.0003663046,0.0002361426,0.0001740554],"domain_scores_gemma":[0.9973677,0.0007683446,0.0002362459,0.0007104251,0.0006315329,0.0002857971],"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":[0.00003073121,0.00001316837,0.0004236891,0.0005717488,0.00001479276,0.00001701386,0.00002695104,0.0001297009,0.0001312528,0.0003727495,0.9967528,0.001515348],"study_design_scores_gemma":[0.00007219698,0.000009714337,0.002196293,0.0002013193,0.00001481165,0.00004106084,0.00009062442,0.0001528498,0.0002011454,0.000722034,0.9962797,0.00001830324],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005347579,0.00003081153,0.000044129,0.00004072696,0.00001353288,0.00000600796,0.998768,0.0003934415,0.0006496897],"genre_scores_gemma":[0.0001722397,0.00003555599,0.0001921576,0.00004558692,0.000003708925,0.0000437274,0.9989115,0.0001340803,0.0004613231],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8551455,"threshold_uncertainty_score":0.4845865,"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."}}