{"id":"W6887386674","doi":"10.15468/dl.z299c3","title":"Occurrence Download","year":2022,"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); 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":[0.001007686,0.0019392,0.001542303,0.004714761,0.000998655,0.00257765,0.002652715,0.002073345,0.1481471],"category_scores_gemma":[0.006043934,0.0008784964,0.001247541,0.008822572,0.0004406886,0.002290446,0.002508923,0.001971036,0.2171169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00150518,"about_ca_system_score_gemma":0.00223078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01963496,"about_ca_topic_score_gemma":0.03119741,"domain_scores_codex":[0.9989977,0.0001435062,0.0001248115,0.0003598928,0.0002119797,0.0001620542],"domain_scores_gemma":[0.9975492,0.0007296315,0.0002144413,0.0006443484,0.00058852,0.0002738303],"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":[0.00003007767,0.00001237284,0.0004197986,0.000554034,0.0000149877,0.00001583832,0.00002283173,0.000128568,0.0001239494,0.0003458866,0.9968858,0.001445793],"study_design_scores_gemma":[0.00007897652,0.00001021029,0.002154923,0.0002170615,0.00001574875,0.00004141309,0.00008251794,0.0001831229,0.0002039092,0.0007728724,0.9962208,0.00001845017],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004816788,0.00002973163,0.00004567264,0.00004062971,0.0000139124,0.000005940454,0.9987884,0.0004137289,0.0006137874],"genre_scores_gemma":[0.0001729603,0.0000345406,0.0002009095,0.00004909373,0.000004069471,0.00004476139,0.9989015,0.0001434241,0.0004487019],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8518529,"threshold_uncertainty_score":0.4956015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}