{"id":"W6924739275","doi":"10.15468/dl.n3et2g","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); Range (aeronautics); Alien; Species name","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":[0.001026484,0.001938904,0.001589685,0.00479914,0.00103095,0.002657346,0.002725085,0.002157917,0.1522077],"category_scores_gemma":[0.006562297,0.0009106697,0.001278244,0.009109388,0.0004460959,0.002452586,0.00265653,0.002028961,0.2169571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001563708,"about_ca_system_score_gemma":0.002355422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02028717,"about_ca_topic_score_gemma":0.03158611,"domain_scores_codex":[0.9988981,0.0001580131,0.0001458809,0.000388094,0.0002318785,0.0001780424],"domain_scores_gemma":[0.9972804,0.0008067737,0.0002386731,0.0007206204,0.0006534497,0.0003001295],"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":[0.00003097888,0.00001219875,0.0003978852,0.0005718659,0.00001469316,0.00001552961,0.00002293346,0.0001293999,0.0001148286,0.0003594763,0.9968971,0.001433076],"study_design_scores_gemma":[0.00007965135,0.00001034519,0.002025589,0.0002269578,0.00001521751,0.00004019034,0.00008424148,0.0001845412,0.000193203,0.0008018575,0.9963194,0.00001883748],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004550062,0.00002930091,0.00004431446,0.00004318648,0.00001464708,0.00000601494,0.9988268,0.0003999629,0.0005902963],"genre_scores_gemma":[0.0001644183,0.00003597799,0.0001944208,0.00005043775,0.000003952493,0.00004365748,0.9989277,0.0001350856,0.0004443358],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8477923,"threshold_uncertainty_score":0.5091857,"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."}}