{"id":"W6887255776","doi":"10.15468/dl.u226j2","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":"Matching (statistics); Download; 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":[0.0008677015,0.002012192,0.001561556,0.004840579,0.0009416927,0.00245132,0.002594566,0.001899577,0.1703912],"category_scores_gemma":[0.005544422,0.0008761127,0.001159705,0.00945907,0.0004300925,0.002140561,0.002482136,0.001818442,0.2307319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001451852,"about_ca_system_score_gemma":0.002156847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01953389,"about_ca_topic_score_gemma":0.03224002,"domain_scores_codex":[0.9990724,0.0001228078,0.0001138295,0.0003363847,0.0001917047,0.0001627862],"domain_scores_gemma":[0.9978543,0.0005970139,0.0002145556,0.000553265,0.0005310068,0.0002497483],"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":[0.00003086912,0.00001063227,0.000383384,0.000566028,0.00001439428,0.0000143886,0.00002251759,0.0001293105,0.0001258672,0.0003676676,0.9967954,0.001539753],"study_design_scores_gemma":[0.00006889121,0.000009337301,0.001763583,0.0001818446,0.00001413738,0.00003500038,0.00006340614,0.0001401765,0.0001811032,0.0007441514,0.996781,0.00001722298],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004373199,0.00002819951,0.00004127923,0.0000323657,0.00001254325,0.000004984959,0.9988335,0.0003674525,0.0006358687],"genre_scores_gemma":[0.0001673518,0.00003659875,0.000201902,0.00004732193,0.000003896561,0.00004453131,0.9988121,0.0001614979,0.0005248404],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8296088,"threshold_uncertainty_score":0.5700154,"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."}}