{"id":"W6943833155","doi":"10.15468/dl.vgzmxb","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":[0.00096364,0.001878531,0.0015735,0.004705024,0.001029752,0.00250305,0.002716292,0.002119465,0.1367679],"category_scores_gemma":[0.005870824,0.0008617439,0.001313055,0.009296582,0.0004550482,0.002336147,0.002463128,0.001965236,0.2047107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001571079,"about_ca_system_score_gemma":0.002292229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02322878,"about_ca_topic_score_gemma":0.03723843,"domain_scores_codex":[0.9989156,0.0001526439,0.0001390732,0.0003733544,0.0002411815,0.0001781836],"domain_scores_gemma":[0.9974478,0.0007328228,0.0002245293,0.0006919484,0.000628139,0.0002747384],"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":[0.00003075248,0.00001267481,0.0004189812,0.0005484087,0.00001455479,0.00001641663,0.00002446406,0.0001274061,0.000124679,0.0003567738,0.9968425,0.00148243],"study_design_scores_gemma":[0.00007212625,0.0000100763,0.002299083,0.0002047681,0.00001520077,0.00004296922,0.00008853297,0.0001695323,0.0002044806,0.0007086428,0.9961658,0.00001888497],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005474478,0.00003244687,0.00004702537,0.00004227521,0.00001443049,0.000006134906,0.9987292,0.0004190638,0.0006547117],"genre_scores_gemma":[0.0001742367,0.00003587946,0.0001942252,0.00004589026,0.000003842465,0.0000412086,0.998925,0.0001276977,0.0004519341],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8632321,"threshold_uncertainty_score":0.4575342,"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."}}