{"id":"W6924316927","doi":"10.15468/dl.k53f5w","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); 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":[0.000987099,0.002080485,0.001650117,0.004765836,0.001060346,0.002528773,0.00306441,0.002296265,0.1419556],"category_scores_gemma":[0.005860019,0.000904648,0.001247687,0.009133609,0.0004624003,0.002436614,0.002678036,0.002086086,0.2148717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001732217,"about_ca_system_score_gemma":0.00241958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02293557,"about_ca_topic_score_gemma":0.03858769,"domain_scores_codex":[0.9989722,0.0001358095,0.0001265553,0.0003574883,0.0002384263,0.0001695027],"domain_scores_gemma":[0.9977617,0.0005996677,0.0002023002,0.0006001403,0.0005807647,0.0002553899],"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":[0.00003051705,0.00001256186,0.0003837467,0.0005169847,0.00001481311,0.00001661345,0.0000249986,0.00013174,0.0001318314,0.0003967408,0.9968316,0.001507884],"study_design_scores_gemma":[0.00007042067,0.000008274448,0.001741653,0.0001902515,0.00001399411,0.00004076292,0.00007779047,0.0001808288,0.0002156651,0.0008024657,0.9966393,0.0000186083],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004674531,0.00002957875,0.00005440069,0.00003832213,0.00001276714,0.000005783321,0.9986564,0.000482023,0.000673977],"genre_scores_gemma":[0.0001552408,0.00003002024,0.000214199,0.00004216602,0.000003034963,0.00003912739,0.9989549,0.000150708,0.0004105588],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8580444,"threshold_uncertainty_score":0.4748889,"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."}}